SlideShare ist ein Scribd-Unternehmen logo
1 von 34
Downloaden Sie, um offline zu lesen
Module 2
Statistics
What this module is about
This module is about finding the measures of central tendency of grouped
data. As you go over this material, you will develop the skills in computing the
mean, median and mode of grouped data.
What you are expected to learn
This module is designed for you to find the measures of central tendency
using grouped data. Specifically, you are to find the mean, median and mode of
grouped data.
How much do you know
Use the frequency distribution table below to answer the questions.
Scores of Students in a Mathematics Test
Class Frequency
46 – 50 1
41 – 45 2
36 – 40 2
31 – 35 3
26 – 30 7
21 – 25 10
16 – 20 13
11 – 15 6
6 – 10 4
1 – 5 2
1. What is the class size?
2. What is the class mark of the class with the highest frequency?
3. What is fX∑ ?
4. Find the mean score.
5. What is the median class?
2
6. Determine the cumulative frequency of the median class.
7. Solve for the median score.
8. What is the modal class?
9. Determine the lower boundary of the modal class
10.Compute for the modal score.
What you will do
Lesson 1
The Mean of Grouped Data Using the Class Marks
When the number of items in a set of data is too big, items are grouped for
convenience. The manner of computing for the mean of grouped data is given by
the formula:
(fX)
Mean
f
∑
=
∑
where: f is the frequency of each class
X is the class mark of class
The Greek symbol ∑ (sigma) is the mathematical symbol for summation. This
means that all items having this symbol are to be added. Thus, the symbol ∑f
means the sum of all frequencies, and ∑fX means the sum of all the products of
the frequency and the corresponding class mark.
Examples:
Compute the mean of the scores of the students in a Mathematics IV test.
Class Frequency
46 – 50 1
41 – 45 5
36 – 40 11
31 – 35 12
26 – 30 11
21 – 25 5
16 – 20 2
11 – 15 1
3
The frequency distribution for the data is given below. The columns X and
fX are added.
Class f X fX
46 – 50 1 48 48
41 – 45 5 43 215
36 – 40 11 38 418
31 – 35 12 33 396
26 – 30 11 28 308
21 – 25 5 23 115
16 – 20 2 18 36
11 – 15 1 13 13
∑f = 48
∑fX = 1,549
(fX)
Mean
f
∑
=
∑
1,549
Mean
48
=
Mean =32.27
The mean score is 32.27.
Solve for the mean gross sale of Aling Mely’s Sari-sari Store for one
month.
Sales in Pesos Frequency
4,501 – 5,000 3
4,001 – 4,500 4
3,501 – 4,000 6
3,001 – 3,500 5
2,501 – 3,000 7
2,001 – 2,500 3
1,501 – 2,000 1
1,001 – 1,500 1
The frequency distribution for the data is given below. The columns X and
fX are added.
Sales in Pesos f X fX
1,001 – 1,500 1 1,250 1,250
1,501 – 2,000 1 1,750 1,750
2,001 – 2,500 3 2,250 6,750
2,501 – 3,000 7 2,750 19,250
3,001 – 3,500 5 3,250 16,250
3,501 – 4,000 6 3,750 22,500
4,001 – 4,500 4 4,250 17,000
4,501 – 5,000 3 4,750 14,250
4
∑f = 30
∑fX = 99,000
(fX)
Mean
f
∑
=
∑
99,000
Mean
30
=
Mean = 3,300
The mean gross sale is P3, 300.
Try this out
Solve for the mean of each grouped data using the class marks.
Set A
1. Scores of Diagnostic Test of IV-Narra Students
Score Frequency
36 – 40 1
31 – 35 10
26 – 20 10
21 – 25 16
16 – 20 9
11 – 15 4
2. Height of IV-1 and IV-2 Students
Height in cm Frequency
175 – 179 2
170 – 174 5
165 – 169 8
160 – 164 11
155 – 159 21
150 – 154 14
145 – 169 17
140 – 144 2
3. Midyear Test Scores of IV-Newton
Score Frequency
41 – 45 1
36 – 40 8
31 – 35 8
26 – 30 14
21 – 25 7
16 – 20 2
5
4. Ages of San Lorenzo High School Teachers
Age Frequency
21 – 25 5
26 – 30 8
31 – 35 8
36 – 40 11
41 – 45 15
46 – 50 14
51 – 55 12
56 – 60 5
61 – 65 2
5. Pledges to the Victims of Typhoon Mulawin
Pledges in Pesos Frequency
9,000 – 9,999 4
8,000 – 8,999 12
7,000 – 7,999 13
6,000 – 6,999 15
5,000 – 5,999 19
4,000 – 4,999 30
3,000 – 3,999 21
2,000 – 2,999 41
1,000 – 1,999 31
0 – 999 14
Set B
1. Scores of Periodic Test of IV-Molave Students
Score Frequency
46 – 50 2
41 – 45 9
36 – 40 13
31 – 35 11
26 – 30 10
21 – 25 5
6
2. Height of IV-2 Students
Height in cm Frequency
175 – 179 3
170 – 174 4
165 – 169 10
160 – 164 9
155 – 159 24
150 – 154 11
145 – 169 13
140 – 144 6
3. Midyear Test Scores of Students in English
Class Frequency
91 – 95 1
86 – 90 6
81 – 85 7
76 – 80 4
71 – 75 7
66 – 70 12
61 – 65 5
56 – 80 5
51 – 55 1
46 – 50 2
4. Ages of Sta. Barbara High School Teachers
Class Frequency
21 – 25 4
26 – 30 14
31 – 35 15
36 – 40 11
41 – 45 12
46 – 50 10
51 – 55 9
56 – 60 3
61 – 65 3
7
5. Monthly Income of the Families of Fourth Year Students
Income in Pesos Frequency
9,000 – 9,999 18
8,000 – 8,999 22
7,000 – 7,999 33
6,000 – 6,999 56
5,000 – 5,999 50
4,000 – 4,999 31
Set C
1. Scores of Achievement Test in Filipino of IV-Kamagong Students
Score Frequency
86 – 90 2
81 – 85 9
76 – 80 8
71 – 75 13
66 – 60 12
61 – 65 6
2. Weight of First Year Students
Weight in kg Frequency
75 – 79 1
70 – 74 4
65 – 69 10
60 – 64 14
55 – 59 21
50 – 54 15
45 – 69 14
40 – 44 1
3. Final Test Scores of IV-Rizal
Score Frequency
91 – 95 1
86 – 90 5
81 – 85 9
76 – 80 16
71 – 75 6
66 – 70 3
8
4. Ages of Seniro Factory Employees
Age Frequency
21 – 25 8
26 – 30 18
31 – 35 11
36 – 40 16
41 – 45 12
46 – 50 10
51 – 55 2
56 – 60 2
61 – 65 1
5. Average Grades of Students of Engineering Block in the First
Semester
Average Grade Frequency
1.01 – 1.50 4
1.51 – 2.00 10
2.01 – 2.50 18
2.51 – 3.00 26
3.01 – 3.50 24
3.51 – 4.00 16
4.01 – 4.50 7
4.51 – 5.00 5
Lesson 2
The Mean of Grouped Data Using the Coded Deviation
An alternative formula for computing the mean of grouped data makes use
of coded deviation:
(fd)
Mean A.M. i
f
∑ 
= +  ∑ 
where: A.M. is the assumed mean
f is the frequency of each class
d is the coded deviation from A.M.
i is the class interval
9
Any class mark can be considered as assumed mean. But it is convenient
to choose the class mark with the highest frequency. The class chosen to contain
A.M. is given a 0 deviation.
Subsequently, consecutive positive integers are assigned to the classes
upward and negative integers to the classes downward.
This is illustrated in the next examples using the same data in lesson 1.
Examples:
Compute the mean of the scores of the students in a Mathematics IV test.
Class Frequency
46 – 50 1
41 – 45 5
36 – 40 11
31 – 35 12
26 – 30 11
21 – 25 5
16 – 20 2
11 – 15 1
The frequency distribution for the data is given below. The columns X, d
and fd are added.
Class f X d fd
46 – 50 1 48 3 3
41 – 45 5 43 2 10
36 – 40 11 38 1 11
31 – 35 12 33 0 0
26 – 30 11 28 -1 -11
21 – 25 5 23 -2 -10
16 – 20 2 18 -3 -6
11 – 15 1 13 -4 -4
A.M. = 33
∑f = 48
∑fd = -7
i = 5
(fd)
Mean A.M. i
f
∑ 
= +  ∑ 
10
7
Mean 33 (5)
48
− = +
  
Mean = 33 + (-0.73)
Mean = 32.27
The mean score is 32.27.
Solve for the mean gross sale of Aling Mely’s Sari-sari Store for one
month.
Sales in Pesos Frequency
1,001 – 1,500 1
1,501 – 2,000 1
2,001 – 2,500 3
2,501 – 3,000 7
3,001 – 3,500 5
3,501 – 4,000 6
4,001 – 4,500 4
4,501 – 5,000 3
The frequency distribution for the data is given below. The columns X, d
and fd are added.
Sales in Pesos f X d fd
1,001 – 1,500 1 1,250 -3 -3
1,501 – 2,000 1 1,750 -2 -2
2,001 – 2,500 3 2,250 -1 -3
2,501 – 3,000 7 2,750 0 0
3,001 – 3,500 5 3,250 1 5
3,501 – 4,000 6 3,750 2 12
4,001 – 4,500 4 4,250 3 12
4,501 – 5,000 3 4,750 4 12
A.M. = 2,750
∑f = 30
∑fd = 33
i = 500
(fd)
Mean A.M. i
f
∑ 
= +  ∑ 
33
Mean 2,750 (500)
30
 = +
  
Mean = 2,750 + 550
Mean = 3,300
The mean gross sale is P3,300.
11
Try this out
Solve for the mean of each grouped data using coded deviation.
Set A
1. Scores of Diagnostic Test of IV-Narra Students
Score Frequency
36 – 40 1
31 – 35 10
26 – 20 10
21 – 25 16
16 – 20 9
11 – 15 4
2. Height of IV-1 and IV-2 Students
Height in cm Frequency
175 – 179 2
170 – 174 5
165 – 169 8
160 – 164 11
155 – 159 21
150 – 154 14
145 – 169 17
140 – 144 2
3. Midyear Test Scores of IV-Newton
Score Frequency
41 – 45 1
36 – 40 8
31 – 35 8
26 – 30 14
21 – 25 7
16 – 20 2
12
4. Ages of San Lorenzo High School Teachers
Age Frequency
21 – 25 5
26 – 30 8
31 – 35 8
36 – 40 11
41 – 45 15
46 – 50 14
51 – 55 12
56 – 60 5
61 – 65 2
5. Pledges to the Victims of Typhoon Mulawin
Pledges in Pesos Frequency
9,000 – 9,999 4
8,000 – 8,999 12
7,000 – 7,999 13
6,000 – 6,999 15
5,000 – 5,999 19
4,000 – 4,999 30
3,000 – 3,999 21
2,000 – 2,999 41
1,000 – 1,999 31
0 – 999 14
Set B
1. Scores of Periodic Test of IV-Molave Students
Score Frequency
46 – 50 2
41 – 45 9
36 – 40 13
31 – 35 11
26 – 30 10
21 – 25 5
13
2. Height of IV-2 Students
Height in cm Frequency
175 – 179 3
170 – 174 4
165 – 169 10
160 – 164 9
155 – 159 24
150 – 154 11
145 – 169 13
140 – 144 6
3. Midyear Test Scores of Students in English
Class Frequency
91 – 95 1
86 – 90 6
81 – 85 7
76 – 80 4
71 – 75 7
66 – 70 12
61 – 65 5
56 – 80 5
51 – 55 1
46 – 50 2
4. Ages of Sta. Barbara High School Teachers
Class Frequency
21 – 25 4
26 – 30 14
31 – 35 15
36 – 40 11
41 – 45 12
46 – 50 10
51 – 55 9
56 – 60 3
61 – 65 2
14
5. Monthly Income of the Families of Fourth Year Students
Income in Pesos Frequency
9,000 – 9,999 18
8,000 – 8,999 22
7,000 – 7,999 33
6,000 – 6,999 56
5,000 – 5,999 50
4,000 – 4,999 31
Set C
1. Scores of Achievement Test in Filipino of IV-Kamagong Students
Score Frequency
86 – 90 2
81 – 85 9
76 – 80 8
71 – 75 13
66 – 60 12
61 – 65 6
2. Weight of First Year Students
Weight in kg Frequency
75 – 79 1
70 – 74 4
65 – 69 10
60 – 64 14
55 – 59 21
50 – 54 15
45 – 69 14
40 – 44 1
3. Final Test Scores of IV-Rizal
Score Frequency
91 – 95 1
86 – 90 5
81 – 85 9
76 – 80 16
71 – 75 6
66 – 70 3
15
4. Ages of Seniro Factory Employees
Age Frequency
21 – 25 8
26 – 30 18
31 – 35 11
36 – 40 16
41 – 45 12
46 – 50 10
51 – 55 2
56 – 60 2
61 – 65 1
5. Average Grades of Students of Engineering Block in the First Semester
Average Grade Frequency
1.01 – 1.50 4
1.51 – 2.00 10
2.01 – 2.50 18
2.51 – 3.00 26
3.01 – 3.50 24
3.51 – 4.00 16
4.01 – 4.50 7
4.51 – 5.00 5
Lesson 3
The Median of Grouped Data
The median is the middle value in a set of quantities. It separates an ordered
set of data into two equal parts. Half of the quantities found above the median
and the other half is found below it.
In computing for the median of grouped data, the following formula is used:
mc
mc
f
cf
2Median lb i
f
∑ −
 
= +  
 
 
where: lbmc is the lower boundary of the median class
f is the frequency of each class
cf is the cumulative frequency of the lower class next to
the median class
16
fmc is the frequency of the median class
i is the class interval
The median class is the class that contains the
f
2
∑ th
quantity. The
computed median must be within the median class.
Examples:
1. Compute the median of the scores of the students in a Mathematics IV
test.
Class Frequency
46 – 50 1
41 – 45 5
36 – 40 11
31 – 35 12
26 – 30 11
21 – 25 5
16 – 20 2
11 – 15 1
The frequency distribution for the data is given below. The columns for lb
and “less than” cumulative frequency are added.
Class f lb “<” cf
46 – 50 1 45.5 48
41 – 45 5 40.5 47
36 – 40 11 35.5 42
31 – 35 12 30.5 31
26 – 30 11 25.5 19
21 – 25 5 20.5 8
16 – 20 2 15.5 3
11 – 15 1 10.5 1
Since
f
2
∑
=
48
2
= 24, the 24th
quantity is in the class 31 – 35. Hence, the
median class is 31 – 35.
lbmc = 30.5
∑f = 48
cf = 19
fmc = 12
i = 5
17
mc
mc
f
cf
2Median lb i
f
∑ −
 
= +  
 
 
48
19
2Median 30.5 (5)
12
 −
 
= +  
 
 
Median 30.5 2.08= +
Median = 32.58
The median score is 32.58.
2. Solve for the median gross sale of Aling Mely’s Sari-sari Store for one
month.
Sales in Pesos Frequency
1,001 – 1,500 1
1,501 – 2,000 1
2,001 – 2,500 3
2,501 – 3,000 7
3,001 – 3,500 5
3,501 – 4,000 6
4,001 – 4,500 4
4,501 – 5,000 3
The frequency distribution for the data is given below. The columns for lb
and “less than” cumulative frequency are added.
Sales in Pesos f lb “<” cf
1,001 – 1,500 1 1,000.5 1
1,501 – 2,000 1 1,500.5 2
2,001 – 2,500 3 2,000.5 5
2,501 – 3,000 7 2,500.5 12
3,001 – 3,500 5 3,000.5 17
3,501 – 4,000 6 3,500.5 23
4,001 – 4,500 4 4,000.5 27
4,501 – 5,000 3 4,500.5 30
Since
f
2
∑
=
30
2
= 15, the 15th
quantity is in the class 3,001 – 3,500.
Hence, the median class is 3,001 – 3,500.
18
lbmc = 3,000.5
∑f = 30
cf = 12
fmc = 5
i = 500
mc
mc
f
cf
2Median lb i
f
∑ −
 
= +  
 
 
30
12
2Median 3,000.5 (500)
5
 −
 
= +  
 
 
Median = 3,000.5 + 300
Median = 3,300.5
The median score is 3,300.5.
Try this out
Solve for the median of each grouped data using coded deviation.
Set A
1. Scores of Diagnostic Test of IV-Narra Students
Score Frequency
36 – 40 1
31 – 35 10
26 – 20 10
21 – 25 16
16 – 20 9
11 – 15 4
19
2. Height of IV-1 and IV-2 Students
Height in cm Frequency
175 – 179 2
170 – 174 5
165 – 169 8
160 – 164 11
155 – 159 21
150 – 154 14
145 – 169 17
140 – 144 2
3. Midyear Test Scores of IV-Newton
Score Frequency
41 – 45 1
36 – 40 8
31 – 35 8
26 – 30 14
21 – 25 7
16 – 20 2
4. Ages of San Lorenzo High School Teachers
Age Frequency
21 – 25 5
26 – 30 8
31 – 35 8
36 – 40 11
41 – 45 15
46 – 50 14
51 – 55 12
56 – 60 5
61 – 65 2
20
5. Pledges to the Victims of Typhoon Mulawin
Pledges in Pesos Frequency
9,000 – 9,999 4
8,000 – 8,999 12
7,000 – 7,999 13
6,000 – 6,999 15
5,000 – 5,999 19
4,000 – 4,999 30
3,000 – 3,999 21
2,000 – 2,999 41
1,000 – 1,999 31
0 – 999 14
Set B
5. Scores of Periodic Test of IV-Molave Students
Score Frequency
46 – 50 2
41 – 45 9
36 – 40 13
31 – 35 11
26 – 30 10
21 – 25 5
2. Height of IV-2 Students
Height in cm Frequency
175 – 179 3
170 – 174 4
165 – 169 10
160 – 164 9
155 – 159 24
150 – 154 11
145 – 169 13
140 – 144 6
21
3. Midyear Test Scores of Students in Filipino
Class Frequency
73 – 75 1
70 – 72 6
67 – 69 7
64 – 66 4
61 – 63 7
58 – 60 12
55 – 57 5
52 – 54 5
49 – 51 1
46 – 48 2
4. Ages of Tagkawayan High School Teachers
Class Frequency
25 – 28 4
29 – 33 14
33 – 36 15
37 – 40 11
41 – 44 12
45 – 48 10
49 – 52 9
53 – 56 3
57 – 60 2
5. Monthly Income of the Families of Fourth Year Students
Income in Pesos Frequency
9,000 – 9,999 18
8,000 – 8,999 22
7,000 – 7,999 33
6,000 – 6,999 56
5,000 – 5,999 50
4,000 – 4,999 31
Set C
1. Final Grades in Filipino of IV-Kamagong Students
Score Frequency
89 – 91 2
86 – 88 9
83 – 85 8
80 – 82 13
77 – 79 12
74 – 76 6
22
2. Weight of First Year Students
Weight in kg Frequency
93 – 99 1
86 – 92 4
79 – 85 10
72 – 78 14
65 – 71 21
58 – 64 15
51 – 57 14
44 – 50 1
3. Final Grades of IV-Rizal Students in Mathematics
Score Frequency
93 – 95 1
90 – 92 5
87 – 89 9
84 – 86 16
81 – 83 6
78 – 80 3
4. Ages of IRSO Foods Company Workers
Age Frequency
27 – 22 8
33 – 28 18
39 – 34 11
45 – 40 16
51 – 46 12
57 – 52 10
63 – 58 2
5. Average Grades of Students of Engineering Block in the First Semester
Average Grade Frequency
1.01 – 1.50 4
1.51 – 2.00 10
2.01 – 2.50 18
2.51 – 3.00 26
3.01 – 3.50 24
3.51 – 4.00 16
4.01 – 4.50 7
4.51 – 5.00 5
23
Lesson 4
The Mode of Grouped Data
The mode of grouped data can be approximated using the following
formula:
1
mo
1 2
D
Mode lb i
D D
 
= +  + 
where: lbmo is the lower boundary of the modal class.
D1 is the difference between the frequencies of the modal class and
the next lower class.
D2 is the difference between the frequencies of the modalclass and
the next upper class.
i is the class interval.
The modal class is the class with the highest frequency. If binomial
classes exist, any of these classes may be considered as modal class.
Examples:
1. Compute the mode of the scores of the students in a Mathematics IV
test.
Class Frequency
46 – 50 1
41 – 45 5
36 – 40 11
31 – 35 12
26 – 30 11
21 – 25 5
16 – 20 2
11 – 15 1
24
he frequency distribution for the data is given below. The column for lb is
added.
Class f lb
46 – 50 1 45.5
41 – 45 5 40.5
36 – 40 11 35.5
31 – 35 12 30.5
26 – 30 11 25.5
21 – 25 5 20.5
16 – 20 2 15.5
11 – 15 1 10.5
Since class 31 – 35 has the highest frequency, the modal class is 31 – 35.
lbmo = 30.5
D1 = 12 – 11 = 1
D2 = 12 – 11 = 1
i = 5
1
mo
1 2
D
Mode lb i
D D
 
= +  + 
1
Mode 30.5 (5)
1 1
 = +
 + 
Mode = 30.5 + 2.5
Mode = 33
The mode score is 33.
2. Solve for the median gross sale of Aling Mely’s Sari-sari Store for one
month.
Sales in Pesos Frequency
1,001 – 1,500 1
1,501 – 2,000 1
2,001 – 2,500 3
2,501 – 3,000 7
3,001 – 3,500 5
3,501 – 4,000 6
4,001 – 4,500 4
4,501 – 5,000 3
25
The frequency distribution for the data is given below. The column for lb is
added.
Sales in Pesos f lb
1,001 – 1,500 1 1,000.5
1,501 – 2,000 1 1,500.5
2,001 – 2,500 3 2,000.5
2,501 – 3,000 7 2,500.5
3,001 – 3,500 5 3,000.5
3,501 – 4,000 6 3,500.5
4,001 – 4,500 4 4,000.5
4,501 – 5,000 3 4,500.5
Since the class 2,501 – 3,000 has the highest frequency, the modal class
is 2,501 – 3,000.
lbmo = 2,500.5
D1 = 7 – 3 = 4
D2 = 7 – 5 = 2
i = 500
1
mo
1 2
D
Mode lb i
D D
 
= +  + 
4
Mode 2,500.5 (500)
4 2
 = +
 + 
Mode = 2,500.5 + 333.33
Mode = 2,833.83
The mode score is 2,833.83.
Try this out
Solve for the mode of each grouped data.
Set A
1. Scores of Diagnostic Test of IV-Narra Students
Score Frequency
36 – 40 1
31 – 35 10
26 – 20 10
21 – 25 16
16 – 10 9
1 – 5 4
26
2. Height of IV-2 Students
Height in cm Frequency
175 – 179 2
170 – 174 5
165 – 169 8
160 – 164 11
155 – 159 21
150 – 154 14
145 – 169 17
140 – 144 2
3. Midyear Test Scores of IV-Newton
Score Frequency
41 – 45 1
36 – 40 8
31 – 35 8
26 – 30 14
21 – 25 7
16 – 20 2
4. Ages of San Lorenzo High School Teachers
Age Frequency
21 – 25 5
26 – 30 8
31 – 35 8
36 – 40 11
41 – 45 15
46 – 50 14
51 – 55 12
56 – 60 5
61 – 65 2
27
5. Pledges to the Victims of Typhoon Mulawin
Pledges in Pesos Frequency
9,000 – 9,999 4
8,000 – 8,999 12
7,000 – 7,999 13
6,000 – 6,999 15
5,000 – 5,999 19
4,000 – 4,999 30
3,000 – 3,999 21
2,000 – 2,999 41
1,000 – 1,999 31
0 – 999 14
Set B
1. Scores of Periodic Test of IV-Molave Students
Score Frequency
46 – 50 2
41 – 45 9
36 – 40 13
31 – 35 11
26 – 30 10
21 – 25 5
2. Height of IV-2 Students
Height in cm Frequency
175 – 179 3
170 – 174 4
165 – 169 10
160 – 164 9
155 – 159 24
150 – 154 11
145 – 169 13
140 – 144 6
28
3. Midyear Test Scores of Students in English
Class Frequency
91 – 95 1
86 – 90 6
81 – 85 7
76 – 80 4
71 – 75 7
66 – 70 12
61 – 65 5
56 – 80 5
51 – 55 1
46 – 50 2
4. Ages of Sta. Barbara High School Teachers
Class Frequency
21 – 25 4
26 – 30 14
31 – 35 15
36 – 40 11
41 – 45 12
46 – 50 10
51 – 55 9
56 – 60 3
61 – 65 1
5. Monthly Income of the Families of Fourth Year Students
Income in Pesos Frequency
9,000 – 9,999 18
8,000 – 8,999 22
7,000 – 7,999 33
6,000 – 6,999 56
5,000 – 5,999 50
4,000 – 4,999 31
29
Set C
1. Scores of Achievement Test in Filipino of IV-Kamagong Students
Score Frequency
86 – 90 2
81 – 85 9
76 – 80 8
71 – 75 13
66 – 60 12
61 – 65 6
2. Weight of First Year Students
Weight in kg Frequency
75 – 79 1
70 – 74 4
65 – 69 10
60 – 64 14
55 – 59 21
50 – 54 15
45 – 69 14
40 – 44 1
3. Final Test Scores of IV-Rizal
Score Frequency
91 – 95 1
86 – 90 5
81 – 85 9
76 – 80 16
71 – 75 6
56 – 70 3
4. Ages of Seniro Factory Employees
Age Frequency
21 – 25 8
26 – 30 18
31 – 35 11
36 – 40 16
41 – 45 12
46 – 50 10
51 – 55 2
56 – 60 2
61 – 65 1
30
5. Average Grades of Students of Engineering Block in the First
Semester
Average Grade Frequency
1.01 – 1.50 4
1.51 – 2.00 10
2.01 – 2.50 18
2.51 – 3.00 26
3.01 – 3.50 24
3.51 – 4.00 16
4.01 – 4.50 7
4.51 – 5.00 5
Let’s summarize
1. When the number of items in a set of data is too big, items are grouped for
convenience. The manner of computing for the mean of grouped data is given by
the formula:
(fX)
Mean
f
∑
=
∑
where: f is the frequency of each class
X is the class mark of class
2. An alternative formula for computing the mean of grouped data makes
use of coded deviation:
(fd)
Mean A.M. i
f
∑ 
= +  ∑ 
where: A.M. is the assumed mean
f is the frequency of each class
d is the coded deviation from A.M.
i is the class interval
Any class mark can be considered as assumed mean. But it is convenient
to choose the class mark with the highest frequency. The class chosen to contain
A.M. is given a 0 deviation. Subsequently, consecutive positive integers are
assigned to the classes upward and negative integers to the classes downward.
.
31
3. In computing for the median of grouped data, the following formula is
used:
mc
mc
f
cf
2Median lb i
f
∑ −
 
= +  
 
 
where: lbmc is the lower boundary of the median class
f is the frequency of each class
cf is the cumulative frequency of the lower class next to
the median class
fmc is the frequency of the median class
i is the class interval
The median class is the class that contains the
f
2
∑ th
quantity. The
computed median must be within the median class
4. The mode of grouped data can be approximated using the following
formula:
1
mo
1 2
D
Mode lb i
D D
 
= +  + 
where: lbmo is the lower boundary of the modal class
D1 is the difference between the frequencies of the
modal class and the next upper class
D2 is the difference between the frequencies of the
modal class and the next lower class
i is the class interval
The modal class is the class with the highest frequency. If binomial
classes exist, any of these classes may be considered as modal class
32
What have you learned
Use the frequency distribution table below to answer the questions.
Scores of Students in a Mathematics IV Test
Class Frequency
46 – 50 1
41 – 45 2
36 – 40 3
31 – 35 10
26 – 30 6
21 – 25 9
16 – 20 5
11 – 15 6
6 – 10 4
1 – 5 2
1. What is the class size?
2. What is the class mark of the class with the highest frequency?
3. What is fX∑ ?
4. Find the mean score.
5. What is the median class?
6. Determine the cumulative frequency of the median class.
7. Solve for the median score.
8. What is the modal class?
9. Determine the lower boundary of the modal class
10.Compute for the modal score.
33
Answer Key
How much do you know
1. 50
2. 18
3. 1,085
4. 21.7
5. 16 – 20
6. 25
7. 20.5
8. 16 – 25
9. 15.5
10.19
Try this out
Lesson 1
Set A Set B Set C
1. 24.6 1. 34.7 1. 73.8
2. 156.75 cm 2. 156.88 cm 2. 57.5 kg
3. 30 3. 71.9 3. 79.25
4. 42.38 years 4. 39.63 years 4. 36.75 years
5. P4,019.50 5. P6,589.98 5. 2.97
Lesson 2
Set A Set B Set C
1. 24.6 1. 34.7 1. 73.8
2. 156.75 cm 2. 156.88 cm 2. 57.5 kg
3. 30 3. 71.9 3. 79.25
4. 42.38 years 4. 39.63 years 4. 36.75 years
5. P4,019.50 5. P6,589.98 5. 2.97
Lesson 3
Set A Set B Set C
1. 24.25 1. 35.05 1. 81.12
2. 156.17 cm 2. 156.58 cm 2. 67.83 kg
3. 29.43 3. 60.5 3. 85.56
4. 43.17 years 4. 39.05 years 4. 34.31 years
5. P3,666.17 5. P6,428.07 5. 3.39
34
Lesson 4
Set A Set B Set C
1. 23.19 1. 37.17 1. 71.33
2. 156.56 cm 2. 156.82 cm 2. 56.81 kg
3. 28.19 3. 68.42 3. 78.44
4. 44.5 years 4. 30.5 years 4. 28.44 years
5. P2,332.83 5. P6,206.40 5. 2.905
What have you learned
1. 47
2. 33
3. 1,159
4. 24.15
5. 21 – 25
6. 26
7. 24.39
8. 31 – 35
9. 30.5
10.32.32

Weitere ähnliche Inhalte

Was ist angesagt?

lesson 3 presentation of data and frequency distribution
lesson 3 presentation of data and frequency distributionlesson 3 presentation of data and frequency distribution
lesson 3 presentation of data and frequency distributionNerz Baldres
 
Summative Test on Measures of Position
Summative Test on Measures of PositionSummative Test on Measures of Position
Summative Test on Measures of PositionJoey Valdriz
 
INTERPRETING MEASURE OF POSITION.pptx
INTERPRETING MEASURE OF POSITION.pptxINTERPRETING MEASURE OF POSITION.pptx
INTERPRETING MEASURE OF POSITION.pptxHannahSheena
 
Math10 curriculum map docx
Math10 curriculum map docxMath10 curriculum map docx
Math10 curriculum map docxEmaEmitsCP
 
DECILE : MEASURES OF POSITION FOR GROUPED DATA
DECILE : MEASURES OF POSITION FOR GROUPED DATADECILE : MEASURES OF POSITION FOR GROUPED DATA
DECILE : MEASURES OF POSITION FOR GROUPED DATAChuckry Maunes
 
Determining the center and the radius of a circle
Determining the center and the radius of a circleDetermining the center and the radius of a circle
Determining the center and the radius of a circleHilda Dragon
 
Measures of central tendency (ungrouped data)
Measures of central tendency (ungrouped data)Measures of central tendency (ungrouped data)
Measures of central tendency (ungrouped data)LilianneSoriano
 
QUARTILES : MEASURES OF POSITION FOR GROUPED DATA
QUARTILES : MEASURES OF POSITION FOR GROUPED DATAQUARTILES : MEASURES OF POSITION FOR GROUPED DATA
QUARTILES : MEASURES OF POSITION FOR GROUPED DATAChuckry Maunes
 
Detailed Lesson Plan on Measures of Variability of Grouped and Ungrouped Data
Detailed Lesson Plan on Measures of Variability of Grouped and Ungrouped DataDetailed Lesson Plan on Measures of Variability of Grouped and Ungrouped Data
Detailed Lesson Plan on Measures of Variability of Grouped and Ungrouped DataJunila Tejada
 
Measures of Variability of Grouped and Ungrouped Data
Measures of Variability of Grouped and Ungrouped DataMeasures of Variability of Grouped and Ungrouped Data
Measures of Variability of Grouped and Ungrouped DataJunila Tejada
 
QUARTILE AND DECILE OF GROUPED DATA
QUARTILE AND DECILE OF GROUPED DATAQUARTILE AND DECILE OF GROUPED DATA
QUARTILE AND DECILE OF GROUPED DATAJENNYROSEDALIGDIG1
 
PERCENTILES FOR GROUPED DATA AND PERCENTILE RANK.pptx
PERCENTILES FOR GROUPED DATA AND PERCENTILE RANK.pptxPERCENTILES FOR GROUPED DATA AND PERCENTILE RANK.pptx
PERCENTILES FOR GROUPED DATA AND PERCENTILE RANK.pptxrich_26
 
PERCENTILE : MEASURES OF POSITION FOR GROUPED DATA
PERCENTILE : MEASURES OF POSITION FOR GROUPED DATA PERCENTILE : MEASURES OF POSITION FOR GROUPED DATA
PERCENTILE : MEASURES OF POSITION FOR GROUPED DATA Chuckry Maunes
 
MEASURES OF POSITION FOR UNGROUPED DATA : QUARTILES , DECILES , & PERCENTILES
MEASURES OF POSITION FOR UNGROUPED DATA : QUARTILES , DECILES , & PERCENTILESMEASURES OF POSITION FOR UNGROUPED DATA : QUARTILES , DECILES , & PERCENTILES
MEASURES OF POSITION FOR UNGROUPED DATA : QUARTILES , DECILES , & PERCENTILESChuckry Maunes
 

Was ist angesagt? (20)

Mean for Grouped Data
Mean for Grouped DataMean for Grouped Data
Mean for Grouped Data
 
lesson 3 presentation of data and frequency distribution
lesson 3 presentation of data and frequency distributionlesson 3 presentation of data and frequency distribution
lesson 3 presentation of data and frequency distribution
 
Summative Test on Measures of Position
Summative Test on Measures of PositionSummative Test on Measures of Position
Summative Test on Measures of Position
 
INTERPRETING MEASURE OF POSITION.pptx
INTERPRETING MEASURE OF POSITION.pptxINTERPRETING MEASURE OF POSITION.pptx
INTERPRETING MEASURE OF POSITION.pptx
 
Math10 curriculum map docx
Math10 curriculum map docxMath10 curriculum map docx
Math10 curriculum map docx
 
Elementary Statistics
Elementary Statistics Elementary Statistics
Elementary Statistics
 
DECILE : MEASURES OF POSITION FOR GROUPED DATA
DECILE : MEASURES OF POSITION FOR GROUPED DATADECILE : MEASURES OF POSITION FOR GROUPED DATA
DECILE : MEASURES OF POSITION FOR GROUPED DATA
 
Determining the center and the radius of a circle
Determining the center and the radius of a circleDetermining the center and the radius of a circle
Determining the center and the radius of a circle
 
Lesson plan (inset demo)
Lesson plan (inset demo)Lesson plan (inset demo)
Lesson plan (inset demo)
 
Measures of central tendency (ungrouped data)
Measures of central tendency (ungrouped data)Measures of central tendency (ungrouped data)
Measures of central tendency (ungrouped data)
 
QUARTILES : MEASURES OF POSITION FOR GROUPED DATA
QUARTILES : MEASURES OF POSITION FOR GROUPED DATAQUARTILES : MEASURES OF POSITION FOR GROUPED DATA
QUARTILES : MEASURES OF POSITION FOR GROUPED DATA
 
Detailed Lesson Plan on Measures of Variability of Grouped and Ungrouped Data
Detailed Lesson Plan on Measures of Variability of Grouped and Ungrouped DataDetailed Lesson Plan on Measures of Variability of Grouped and Ungrouped Data
Detailed Lesson Plan on Measures of Variability of Grouped and Ungrouped Data
 
Median of grouped data
Median of grouped dataMedian of grouped data
Median of grouped data
 
Measures of Variability of Grouped and Ungrouped Data
Measures of Variability of Grouped and Ungrouped DataMeasures of Variability of Grouped and Ungrouped Data
Measures of Variability of Grouped and Ungrouped Data
 
QUARTILE AND DECILE OF GROUPED DATA
QUARTILE AND DECILE OF GROUPED DATAQUARTILE AND DECILE OF GROUPED DATA
QUARTILE AND DECILE OF GROUPED DATA
 
Measures of variability
Measures of variabilityMeasures of variability
Measures of variability
 
PERCENTILES FOR GROUPED DATA AND PERCENTILE RANK.pptx
PERCENTILES FOR GROUPED DATA AND PERCENTILE RANK.pptxPERCENTILES FOR GROUPED DATA AND PERCENTILE RANK.pptx
PERCENTILES FOR GROUPED DATA AND PERCENTILE RANK.pptx
 
Statistics and probability lesson6&7
Statistics and probability lesson6&7Statistics and probability lesson6&7
Statistics and probability lesson6&7
 
PERCENTILE : MEASURES OF POSITION FOR GROUPED DATA
PERCENTILE : MEASURES OF POSITION FOR GROUPED DATA PERCENTILE : MEASURES OF POSITION FOR GROUPED DATA
PERCENTILE : MEASURES OF POSITION FOR GROUPED DATA
 
MEASURES OF POSITION FOR UNGROUPED DATA : QUARTILES , DECILES , & PERCENTILES
MEASURES OF POSITION FOR UNGROUPED DATA : QUARTILES , DECILES , & PERCENTILESMEASURES OF POSITION FOR UNGROUPED DATA : QUARTILES , DECILES , & PERCENTILES
MEASURES OF POSITION FOR UNGROUPED DATA : QUARTILES , DECILES , & PERCENTILES
 

Ähnlich wie Module 2 statistics

Analysis and interpretation of Assessment.pptx
Analysis and interpretation of Assessment.pptxAnalysis and interpretation of Assessment.pptx
Analysis and interpretation of Assessment.pptxAeonneFlux
 
Chapter 7 statistics
Chapter 7  statisticsChapter 7  statistics
Chapter 7 statisticsatiqah ayie
 
Mode of Grouped Data - Math 7 (4th Quarter)
Mode of Grouped Data - Math 7 (4th Quarter)Mode of Grouped Data - Math 7 (4th Quarter)
Mode of Grouped Data - Math 7 (4th Quarter)Carlo Luna
 
..............Pascua_Renlie Jane_01.pptx
..............Pascua_Renlie Jane_01.pptx..............Pascua_Renlie Jane_01.pptx
..............Pascua_Renlie Jane_01.pptxrenliejanepedronan
 
Group 3 measures of central tendency and variation - (mean, median, mode, ra...
Group 3  measures of central tendency and variation - (mean, median, mode, ra...Group 3  measures of central tendency and variation - (mean, median, mode, ra...
Group 3 measures of central tendency and variation - (mean, median, mode, ra...reymartyvette_0611
 
Presentation of Data and Frequency Distribution
Presentation of Data and Frequency DistributionPresentation of Data and Frequency Distribution
Presentation of Data and Frequency DistributionElain Cruz
 
Assessment of Learning 2 (Overview)
Assessment of Learning 2 (Overview)Assessment of Learning 2 (Overview)
Assessment of Learning 2 (Overview)Caroline Lace
 
Utilization-of-assessment-data-assessmentinLearning1.pptx
Utilization-of-assessment-data-assessmentinLearning1.pptxUtilization-of-assessment-data-assessmentinLearning1.pptx
Utilization-of-assessment-data-assessmentinLearning1.pptxEdeleneGetes
 
MEASURES OF POSITION GROUPED DATA.pptx
MEASURES OF POSITION GROUPED DATA.pptxMEASURES OF POSITION GROUPED DATA.pptx
MEASURES OF POSITION GROUPED DATA.pptxGeraldCorrales
 
MEASURES-OF-CENTRAL-TENDENCIES-1[1] [Autosaved].pptx
MEASURES-OF-CENTRAL-TENDENCIES-1[1] [Autosaved].pptxMEASURES-OF-CENTRAL-TENDENCIES-1[1] [Autosaved].pptx
MEASURES-OF-CENTRAL-TENDENCIES-1[1] [Autosaved].pptxamadapaulo
 
Education Assessment in Learnings 1.pptx
Education Assessment in Learnings 1.pptxEducation Assessment in Learnings 1.pptx
Education Assessment in Learnings 1.pptxRayLorenzOrtega
 
B.Ed _ Test _ and _ Measurement _ record
B.Ed _ Test _ and _ Measurement _ recordB.Ed _ Test _ and _ Measurement _ record
B.Ed _ Test _ and _ Measurement _ recordDr SUNDARARASAN T
 
Frequency Distribution (Class-interval- Tally).pptx
Frequency Distribution (Class-interval- Tally).pptxFrequency Distribution (Class-interval- Tally).pptx
Frequency Distribution (Class-interval- Tally).pptxAlwinCAsuncion
 
B.Ed.104 unit 4.1-statistics
B.Ed.104 unit 4.1-statisticsB.Ed.104 unit 4.1-statistics
B.Ed.104 unit 4.1-statisticsGANGOTRIROKADE1
 
Chapter 3: Prsentation of Data
Chapter 3: Prsentation of DataChapter 3: Prsentation of Data
Chapter 3: Prsentation of DataAndrilyn Alcantara
 

Ähnlich wie Module 2 statistics (20)

Analysis and interpretation of Assessment.pptx
Analysis and interpretation of Assessment.pptxAnalysis and interpretation of Assessment.pptx
Analysis and interpretation of Assessment.pptx
 
Chapter 7 statistics
Chapter 7  statisticsChapter 7  statistics
Chapter 7 statistics
 
Mode of Grouped Data - Math 7 (4th Quarter)
Mode of Grouped Data - Math 7 (4th Quarter)Mode of Grouped Data - Math 7 (4th Quarter)
Mode of Grouped Data - Math 7 (4th Quarter)
 
..............Pascua_Renlie Jane_01.pptx
..............Pascua_Renlie Jane_01.pptx..............Pascua_Renlie Jane_01.pptx
..............Pascua_Renlie Jane_01.pptx
 
Group 3 measures of central tendency and variation - (mean, median, mode, ra...
Group 3  measures of central tendency and variation - (mean, median, mode, ra...Group 3  measures of central tendency and variation - (mean, median, mode, ra...
Group 3 measures of central tendency and variation - (mean, median, mode, ra...
 
Presentation of Data and Frequency Distribution
Presentation of Data and Frequency DistributionPresentation of Data and Frequency Distribution
Presentation of Data and Frequency Distribution
 
Assessment of Learning 2 (Overview)
Assessment of Learning 2 (Overview)Assessment of Learning 2 (Overview)
Assessment of Learning 2 (Overview)
 
Utilization-of-assessment-data-assessmentinLearning1.pptx
Utilization-of-assessment-data-assessmentinLearning1.pptxUtilization-of-assessment-data-assessmentinLearning1.pptx
Utilization-of-assessment-data-assessmentinLearning1.pptx
 
Basic statics
Basic staticsBasic statics
Basic statics
 
MEASURES OF POSITION GROUPED DATA.pptx
MEASURES OF POSITION GROUPED DATA.pptxMEASURES OF POSITION GROUPED DATA.pptx
MEASURES OF POSITION GROUPED DATA.pptx
 
MEASURES-OF-CENTRAL-TENDENCIES-1[1] [Autosaved].pptx
MEASURES-OF-CENTRAL-TENDENCIES-1[1] [Autosaved].pptxMEASURES-OF-CENTRAL-TENDENCIES-1[1] [Autosaved].pptx
MEASURES-OF-CENTRAL-TENDENCIES-1[1] [Autosaved].pptx
 
Education Assessment in Learnings 1.pptx
Education Assessment in Learnings 1.pptxEducation Assessment in Learnings 1.pptx
Education Assessment in Learnings 1.pptx
 
Assessment compiled
Assessment compiledAssessment compiled
Assessment compiled
 
B.Ed _ Test _ and _ Measurement _ record
B.Ed _ Test _ and _ Measurement _ recordB.Ed _ Test _ and _ Measurement _ record
B.Ed _ Test _ and _ Measurement _ record
 
Frequency Distribution (Class-interval- Tally).pptx
Frequency Distribution (Class-interval- Tally).pptxFrequency Distribution (Class-interval- Tally).pptx
Frequency Distribution (Class-interval- Tally).pptx
 
B.Ed.104 unit 4.1-statistics
B.Ed.104 unit 4.1-statisticsB.Ed.104 unit 4.1-statistics
B.Ed.104 unit 4.1-statistics
 
1. descriptive statistics
1. descriptive statistics1. descriptive statistics
1. descriptive statistics
 
STATISTICS
STATISTICSSTATISTICS
STATISTICS
 
Chapter 3: Prsentation of Data
Chapter 3: Prsentation of DataChapter 3: Prsentation of Data
Chapter 3: Prsentation of Data
 
Measures of variability grouped data
Measures of variability grouped dataMeasures of variability grouped data
Measures of variability grouped data
 

Mehr von dionesioable

Modyul 01 hegrapiya ng daigdig
Modyul 01   hegrapiya ng daigdigModyul 01   hegrapiya ng daigdig
Modyul 01 hegrapiya ng daigdigdionesioable
 
Innovation presentation
Innovation presentationInnovation presentation
Innovation presentationdionesioable
 
Results based performance management system (rpms) for dep ed
Results   based performance management system (rpms) for dep edResults   based performance management system (rpms) for dep ed
Results based performance management system (rpms) for dep eddionesioable
 
Unit 1, mod 3 Sulyap ng Buhay Panlipunan sa Sinaunang Panahon
Unit 1, mod 3 Sulyap ng Buhay Panlipunan sa Sinaunang PanahonUnit 1, mod 3 Sulyap ng Buhay Panlipunan sa Sinaunang Panahon
Unit 1, mod 3 Sulyap ng Buhay Panlipunan sa Sinaunang Panahondionesioable
 
Unit 1, mod 4 Pagtatag ng kolonyang Espanyol at mga patakarang kolonyal
Unit 1, mod 4 Pagtatag ng kolonyang Espanyol at mga patakarang kolonyalUnit 1, mod 4 Pagtatag ng kolonyang Espanyol at mga patakarang kolonyal
Unit 1, mod 4 Pagtatag ng kolonyang Espanyol at mga patakarang kolonyaldionesioable
 
Unit 1, mod 2 Ang bangang Manunggul at mga sinaunang paniniwala
Unit 1, mod 2 Ang bangang Manunggul at mga sinaunang paniniwalaUnit 1, mod 2 Ang bangang Manunggul at mga sinaunang paniniwala
Unit 1, mod 2 Ang bangang Manunggul at mga sinaunang paniniwaladionesioable
 
1 1a modyul final ok
1 1a modyul final ok1 1a modyul final ok
1 1a modyul final okdionesioable
 
1 1c modyul final ok
1 1c modyul final ok1 1c modyul final ok
1 1c modyul final okdionesioable
 
1 1b modyul final ok
1 1b modyul final ok1 1b modyul final ok
1 1b modyul final okdionesioable
 
Deped Sch calendar 2014 -15
Deped Sch calendar 2014 -15Deped Sch calendar 2014 -15
Deped Sch calendar 2014 -15dionesioable
 
Biology m13 human reproductive system
Biology m13 human reproductive systemBiology m13 human reproductive system
Biology m13 human reproductive systemdionesioable
 
Biology m8 integumentary & excretory systems
Biology m8 integumentary & excretory systemsBiology m8 integumentary & excretory systems
Biology m8 integumentary & excretory systemsdionesioable
 
Biology m6 the levels of biological organization
Biology m6 the levels of biological organizationBiology m6 the levels of biological organization
Biology m6 the levels of biological organizationdionesioable
 
Biology m3 movement of matls thru the cell membrane
Biology m3 movement of matls thru the cell membraneBiology m3 movement of matls thru the cell membrane
Biology m3 movement of matls thru the cell membranedionesioable
 
Biology m1 nature of biology
Biology m1 nature of biologyBiology m1 nature of biology
Biology m1 nature of biologydionesioable
 
Biology m18 animals with backbones
Biology m18 animals with backbonesBiology m18 animals with backbones
Biology m18 animals with backbonesdionesioable
 
Biology m16 diversity of plants
Biology m16 diversity of plantsBiology m16 diversity of plants
Biology m16 diversity of plantsdionesioable
 
Biology m1 nature of biology
Biology m1 nature of biologyBiology m1 nature of biology
Biology m1 nature of biologydionesioable
 

Mehr von dionesioable (20)

Squad drill
Squad drillSquad drill
Squad drill
 
Dril
DrilDril
Dril
 
Modyul 01 hegrapiya ng daigdig
Modyul 01   hegrapiya ng daigdigModyul 01   hegrapiya ng daigdig
Modyul 01 hegrapiya ng daigdig
 
Innovation presentation
Innovation presentationInnovation presentation
Innovation presentation
 
Results based performance management system (rpms) for dep ed
Results   based performance management system (rpms) for dep edResults   based performance management system (rpms) for dep ed
Results based performance management system (rpms) for dep ed
 
Unit 1, mod 3 Sulyap ng Buhay Panlipunan sa Sinaunang Panahon
Unit 1, mod 3 Sulyap ng Buhay Panlipunan sa Sinaunang PanahonUnit 1, mod 3 Sulyap ng Buhay Panlipunan sa Sinaunang Panahon
Unit 1, mod 3 Sulyap ng Buhay Panlipunan sa Sinaunang Panahon
 
Unit 1, mod 4 Pagtatag ng kolonyang Espanyol at mga patakarang kolonyal
Unit 1, mod 4 Pagtatag ng kolonyang Espanyol at mga patakarang kolonyalUnit 1, mod 4 Pagtatag ng kolonyang Espanyol at mga patakarang kolonyal
Unit 1, mod 4 Pagtatag ng kolonyang Espanyol at mga patakarang kolonyal
 
Unit 1, mod 2 Ang bangang Manunggul at mga sinaunang paniniwala
Unit 1, mod 2 Ang bangang Manunggul at mga sinaunang paniniwalaUnit 1, mod 2 Ang bangang Manunggul at mga sinaunang paniniwala
Unit 1, mod 2 Ang bangang Manunggul at mga sinaunang paniniwala
 
1 1a modyul final ok
1 1a modyul final ok1 1a modyul final ok
1 1a modyul final ok
 
1 1c modyul final ok
1 1c modyul final ok1 1c modyul final ok
1 1c modyul final ok
 
1 1b modyul final ok
1 1b modyul final ok1 1b modyul final ok
1 1b modyul final ok
 
Deped Sch calendar 2014 -15
Deped Sch calendar 2014 -15Deped Sch calendar 2014 -15
Deped Sch calendar 2014 -15
 
Biology m13 human reproductive system
Biology m13 human reproductive systemBiology m13 human reproductive system
Biology m13 human reproductive system
 
Biology m8 integumentary & excretory systems
Biology m8 integumentary & excretory systemsBiology m8 integumentary & excretory systems
Biology m8 integumentary & excretory systems
 
Biology m6 the levels of biological organization
Biology m6 the levels of biological organizationBiology m6 the levels of biological organization
Biology m6 the levels of biological organization
 
Biology m3 movement of matls thru the cell membrane
Biology m3 movement of matls thru the cell membraneBiology m3 movement of matls thru the cell membrane
Biology m3 movement of matls thru the cell membrane
 
Biology m1 nature of biology
Biology m1 nature of biologyBiology m1 nature of biology
Biology m1 nature of biology
 
Biology m18 animals with backbones
Biology m18 animals with backbonesBiology m18 animals with backbones
Biology m18 animals with backbones
 
Biology m16 diversity of plants
Biology m16 diversity of plantsBiology m16 diversity of plants
Biology m16 diversity of plants
 
Biology m1 nature of biology
Biology m1 nature of biologyBiology m1 nature of biology
Biology m1 nature of biology
 

Kürzlich hochgeladen

ENGLISH6-Q4-W3.pptxqurter our high choom
ENGLISH6-Q4-W3.pptxqurter our high choomENGLISH6-Q4-W3.pptxqurter our high choom
ENGLISH6-Q4-W3.pptxqurter our high choomnelietumpap1
 
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)lakshayb543
 
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdfInclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdfTechSoup
 
Judging the Relevance and worth of ideas part 2.pptx
Judging the Relevance  and worth of ideas part 2.pptxJudging the Relevance  and worth of ideas part 2.pptx
Judging the Relevance and worth of ideas part 2.pptxSherlyMaeNeri
 
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSGRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSJoshuaGantuangco2
 
4.16.24 21st Century Movements for Black Lives.pptx
4.16.24 21st Century Movements for Black Lives.pptx4.16.24 21st Century Movements for Black Lives.pptx
4.16.24 21st Century Movements for Black Lives.pptxmary850239
 
Barangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptxBarangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptxCarlos105
 
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️9953056974 Low Rate Call Girls In Saket, Delhi NCR
 
Transaction Management in Database Management System
Transaction Management in Database Management SystemTransaction Management in Database Management System
Transaction Management in Database Management SystemChristalin Nelson
 
Karra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptxKarra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptxAshokKarra1
 
Culture Uniformity or Diversity IN SOCIOLOGY.pptx
Culture Uniformity or Diversity IN SOCIOLOGY.pptxCulture Uniformity or Diversity IN SOCIOLOGY.pptx
Culture Uniformity or Diversity IN SOCIOLOGY.pptxPoojaSen20
 
Global Lehigh Strategic Initiatives (without descriptions)
Global Lehigh Strategic Initiatives (without descriptions)Global Lehigh Strategic Initiatives (without descriptions)
Global Lehigh Strategic Initiatives (without descriptions)cama23
 
Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...Seán Kennedy
 
ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4MiaBumagat1
 
How to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPHow to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPCeline George
 
Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Celine George
 
Concurrency Control in Database Management system
Concurrency Control in Database Management systemConcurrency Control in Database Management system
Concurrency Control in Database Management systemChristalin Nelson
 

Kürzlich hochgeladen (20)

ENGLISH6-Q4-W3.pptxqurter our high choom
ENGLISH6-Q4-W3.pptxqurter our high choomENGLISH6-Q4-W3.pptxqurter our high choom
ENGLISH6-Q4-W3.pptxqurter our high choom
 
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
 
YOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptx
YOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptxYOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptx
YOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptx
 
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdfInclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
 
FINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptx
FINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptxFINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptx
FINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptx
 
Judging the Relevance and worth of ideas part 2.pptx
Judging the Relevance  and worth of ideas part 2.pptxJudging the Relevance  and worth of ideas part 2.pptx
Judging the Relevance and worth of ideas part 2.pptx
 
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSGRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
 
4.16.24 21st Century Movements for Black Lives.pptx
4.16.24 21st Century Movements for Black Lives.pptx4.16.24 21st Century Movements for Black Lives.pptx
4.16.24 21st Century Movements for Black Lives.pptx
 
Barangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptxBarangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptx
 
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
 
Transaction Management in Database Management System
Transaction Management in Database Management SystemTransaction Management in Database Management System
Transaction Management in Database Management System
 
Karra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptxKarra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptx
 
Culture Uniformity or Diversity IN SOCIOLOGY.pptx
Culture Uniformity or Diversity IN SOCIOLOGY.pptxCulture Uniformity or Diversity IN SOCIOLOGY.pptx
Culture Uniformity or Diversity IN SOCIOLOGY.pptx
 
Global Lehigh Strategic Initiatives (without descriptions)
Global Lehigh Strategic Initiatives (without descriptions)Global Lehigh Strategic Initiatives (without descriptions)
Global Lehigh Strategic Initiatives (without descriptions)
 
Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...
 
ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4
 
YOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptx
YOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptxYOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptx
YOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptx
 
How to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPHow to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERP
 
Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17
 
Concurrency Control in Database Management system
Concurrency Control in Database Management systemConcurrency Control in Database Management system
Concurrency Control in Database Management system
 

Module 2 statistics

  • 1. Module 2 Statistics What this module is about This module is about finding the measures of central tendency of grouped data. As you go over this material, you will develop the skills in computing the mean, median and mode of grouped data. What you are expected to learn This module is designed for you to find the measures of central tendency using grouped data. Specifically, you are to find the mean, median and mode of grouped data. How much do you know Use the frequency distribution table below to answer the questions. Scores of Students in a Mathematics Test Class Frequency 46 – 50 1 41 – 45 2 36 – 40 2 31 – 35 3 26 – 30 7 21 – 25 10 16 – 20 13 11 – 15 6 6 – 10 4 1 – 5 2 1. What is the class size? 2. What is the class mark of the class with the highest frequency? 3. What is fX∑ ? 4. Find the mean score. 5. What is the median class?
  • 2. 2 6. Determine the cumulative frequency of the median class. 7. Solve for the median score. 8. What is the modal class? 9. Determine the lower boundary of the modal class 10.Compute for the modal score. What you will do Lesson 1 The Mean of Grouped Data Using the Class Marks When the number of items in a set of data is too big, items are grouped for convenience. The manner of computing for the mean of grouped data is given by the formula: (fX) Mean f ∑ = ∑ where: f is the frequency of each class X is the class mark of class The Greek symbol ∑ (sigma) is the mathematical symbol for summation. This means that all items having this symbol are to be added. Thus, the symbol ∑f means the sum of all frequencies, and ∑fX means the sum of all the products of the frequency and the corresponding class mark. Examples: Compute the mean of the scores of the students in a Mathematics IV test. Class Frequency 46 – 50 1 41 – 45 5 36 – 40 11 31 – 35 12 26 – 30 11 21 – 25 5 16 – 20 2 11 – 15 1
  • 3. 3 The frequency distribution for the data is given below. The columns X and fX are added. Class f X fX 46 – 50 1 48 48 41 – 45 5 43 215 36 – 40 11 38 418 31 – 35 12 33 396 26 – 30 11 28 308 21 – 25 5 23 115 16 – 20 2 18 36 11 – 15 1 13 13 ∑f = 48 ∑fX = 1,549 (fX) Mean f ∑ = ∑ 1,549 Mean 48 = Mean =32.27 The mean score is 32.27. Solve for the mean gross sale of Aling Mely’s Sari-sari Store for one month. Sales in Pesos Frequency 4,501 – 5,000 3 4,001 – 4,500 4 3,501 – 4,000 6 3,001 – 3,500 5 2,501 – 3,000 7 2,001 – 2,500 3 1,501 – 2,000 1 1,001 – 1,500 1 The frequency distribution for the data is given below. The columns X and fX are added. Sales in Pesos f X fX 1,001 – 1,500 1 1,250 1,250 1,501 – 2,000 1 1,750 1,750 2,001 – 2,500 3 2,250 6,750 2,501 – 3,000 7 2,750 19,250 3,001 – 3,500 5 3,250 16,250 3,501 – 4,000 6 3,750 22,500 4,001 – 4,500 4 4,250 17,000 4,501 – 5,000 3 4,750 14,250
  • 4. 4 ∑f = 30 ∑fX = 99,000 (fX) Mean f ∑ = ∑ 99,000 Mean 30 = Mean = 3,300 The mean gross sale is P3, 300. Try this out Solve for the mean of each grouped data using the class marks. Set A 1. Scores of Diagnostic Test of IV-Narra Students Score Frequency 36 – 40 1 31 – 35 10 26 – 20 10 21 – 25 16 16 – 20 9 11 – 15 4 2. Height of IV-1 and IV-2 Students Height in cm Frequency 175 – 179 2 170 – 174 5 165 – 169 8 160 – 164 11 155 – 159 21 150 – 154 14 145 – 169 17 140 – 144 2 3. Midyear Test Scores of IV-Newton Score Frequency 41 – 45 1 36 – 40 8 31 – 35 8 26 – 30 14 21 – 25 7 16 – 20 2
  • 5. 5 4. Ages of San Lorenzo High School Teachers Age Frequency 21 – 25 5 26 – 30 8 31 – 35 8 36 – 40 11 41 – 45 15 46 – 50 14 51 – 55 12 56 – 60 5 61 – 65 2 5. Pledges to the Victims of Typhoon Mulawin Pledges in Pesos Frequency 9,000 – 9,999 4 8,000 – 8,999 12 7,000 – 7,999 13 6,000 – 6,999 15 5,000 – 5,999 19 4,000 – 4,999 30 3,000 – 3,999 21 2,000 – 2,999 41 1,000 – 1,999 31 0 – 999 14 Set B 1. Scores of Periodic Test of IV-Molave Students Score Frequency 46 – 50 2 41 – 45 9 36 – 40 13 31 – 35 11 26 – 30 10 21 – 25 5
  • 6. 6 2. Height of IV-2 Students Height in cm Frequency 175 – 179 3 170 – 174 4 165 – 169 10 160 – 164 9 155 – 159 24 150 – 154 11 145 – 169 13 140 – 144 6 3. Midyear Test Scores of Students in English Class Frequency 91 – 95 1 86 – 90 6 81 – 85 7 76 – 80 4 71 – 75 7 66 – 70 12 61 – 65 5 56 – 80 5 51 – 55 1 46 – 50 2 4. Ages of Sta. Barbara High School Teachers Class Frequency 21 – 25 4 26 – 30 14 31 – 35 15 36 – 40 11 41 – 45 12 46 – 50 10 51 – 55 9 56 – 60 3 61 – 65 3
  • 7. 7 5. Monthly Income of the Families of Fourth Year Students Income in Pesos Frequency 9,000 – 9,999 18 8,000 – 8,999 22 7,000 – 7,999 33 6,000 – 6,999 56 5,000 – 5,999 50 4,000 – 4,999 31 Set C 1. Scores of Achievement Test in Filipino of IV-Kamagong Students Score Frequency 86 – 90 2 81 – 85 9 76 – 80 8 71 – 75 13 66 – 60 12 61 – 65 6 2. Weight of First Year Students Weight in kg Frequency 75 – 79 1 70 – 74 4 65 – 69 10 60 – 64 14 55 – 59 21 50 – 54 15 45 – 69 14 40 – 44 1 3. Final Test Scores of IV-Rizal Score Frequency 91 – 95 1 86 – 90 5 81 – 85 9 76 – 80 16 71 – 75 6 66 – 70 3
  • 8. 8 4. Ages of Seniro Factory Employees Age Frequency 21 – 25 8 26 – 30 18 31 – 35 11 36 – 40 16 41 – 45 12 46 – 50 10 51 – 55 2 56 – 60 2 61 – 65 1 5. Average Grades of Students of Engineering Block in the First Semester Average Grade Frequency 1.01 – 1.50 4 1.51 – 2.00 10 2.01 – 2.50 18 2.51 – 3.00 26 3.01 – 3.50 24 3.51 – 4.00 16 4.01 – 4.50 7 4.51 – 5.00 5 Lesson 2 The Mean of Grouped Data Using the Coded Deviation An alternative formula for computing the mean of grouped data makes use of coded deviation: (fd) Mean A.M. i f ∑  = +  ∑  where: A.M. is the assumed mean f is the frequency of each class d is the coded deviation from A.M. i is the class interval
  • 9. 9 Any class mark can be considered as assumed mean. But it is convenient to choose the class mark with the highest frequency. The class chosen to contain A.M. is given a 0 deviation. Subsequently, consecutive positive integers are assigned to the classes upward and negative integers to the classes downward. This is illustrated in the next examples using the same data in lesson 1. Examples: Compute the mean of the scores of the students in a Mathematics IV test. Class Frequency 46 – 50 1 41 – 45 5 36 – 40 11 31 – 35 12 26 – 30 11 21 – 25 5 16 – 20 2 11 – 15 1 The frequency distribution for the data is given below. The columns X, d and fd are added. Class f X d fd 46 – 50 1 48 3 3 41 – 45 5 43 2 10 36 – 40 11 38 1 11 31 – 35 12 33 0 0 26 – 30 11 28 -1 -11 21 – 25 5 23 -2 -10 16 – 20 2 18 -3 -6 11 – 15 1 13 -4 -4 A.M. = 33 ∑f = 48 ∑fd = -7 i = 5 (fd) Mean A.M. i f ∑  = +  ∑ 
  • 10. 10 7 Mean 33 (5) 48 − = +    Mean = 33 + (-0.73) Mean = 32.27 The mean score is 32.27. Solve for the mean gross sale of Aling Mely’s Sari-sari Store for one month. Sales in Pesos Frequency 1,001 – 1,500 1 1,501 – 2,000 1 2,001 – 2,500 3 2,501 – 3,000 7 3,001 – 3,500 5 3,501 – 4,000 6 4,001 – 4,500 4 4,501 – 5,000 3 The frequency distribution for the data is given below. The columns X, d and fd are added. Sales in Pesos f X d fd 1,001 – 1,500 1 1,250 -3 -3 1,501 – 2,000 1 1,750 -2 -2 2,001 – 2,500 3 2,250 -1 -3 2,501 – 3,000 7 2,750 0 0 3,001 – 3,500 5 3,250 1 5 3,501 – 4,000 6 3,750 2 12 4,001 – 4,500 4 4,250 3 12 4,501 – 5,000 3 4,750 4 12 A.M. = 2,750 ∑f = 30 ∑fd = 33 i = 500 (fd) Mean A.M. i f ∑  = +  ∑  33 Mean 2,750 (500) 30  = +    Mean = 2,750 + 550 Mean = 3,300 The mean gross sale is P3,300.
  • 11. 11 Try this out Solve for the mean of each grouped data using coded deviation. Set A 1. Scores of Diagnostic Test of IV-Narra Students Score Frequency 36 – 40 1 31 – 35 10 26 – 20 10 21 – 25 16 16 – 20 9 11 – 15 4 2. Height of IV-1 and IV-2 Students Height in cm Frequency 175 – 179 2 170 – 174 5 165 – 169 8 160 – 164 11 155 – 159 21 150 – 154 14 145 – 169 17 140 – 144 2 3. Midyear Test Scores of IV-Newton Score Frequency 41 – 45 1 36 – 40 8 31 – 35 8 26 – 30 14 21 – 25 7 16 – 20 2
  • 12. 12 4. Ages of San Lorenzo High School Teachers Age Frequency 21 – 25 5 26 – 30 8 31 – 35 8 36 – 40 11 41 – 45 15 46 – 50 14 51 – 55 12 56 – 60 5 61 – 65 2 5. Pledges to the Victims of Typhoon Mulawin Pledges in Pesos Frequency 9,000 – 9,999 4 8,000 – 8,999 12 7,000 – 7,999 13 6,000 – 6,999 15 5,000 – 5,999 19 4,000 – 4,999 30 3,000 – 3,999 21 2,000 – 2,999 41 1,000 – 1,999 31 0 – 999 14 Set B 1. Scores of Periodic Test of IV-Molave Students Score Frequency 46 – 50 2 41 – 45 9 36 – 40 13 31 – 35 11 26 – 30 10 21 – 25 5
  • 13. 13 2. Height of IV-2 Students Height in cm Frequency 175 – 179 3 170 – 174 4 165 – 169 10 160 – 164 9 155 – 159 24 150 – 154 11 145 – 169 13 140 – 144 6 3. Midyear Test Scores of Students in English Class Frequency 91 – 95 1 86 – 90 6 81 – 85 7 76 – 80 4 71 – 75 7 66 – 70 12 61 – 65 5 56 – 80 5 51 – 55 1 46 – 50 2 4. Ages of Sta. Barbara High School Teachers Class Frequency 21 – 25 4 26 – 30 14 31 – 35 15 36 – 40 11 41 – 45 12 46 – 50 10 51 – 55 9 56 – 60 3 61 – 65 2
  • 14. 14 5. Monthly Income of the Families of Fourth Year Students Income in Pesos Frequency 9,000 – 9,999 18 8,000 – 8,999 22 7,000 – 7,999 33 6,000 – 6,999 56 5,000 – 5,999 50 4,000 – 4,999 31 Set C 1. Scores of Achievement Test in Filipino of IV-Kamagong Students Score Frequency 86 – 90 2 81 – 85 9 76 – 80 8 71 – 75 13 66 – 60 12 61 – 65 6 2. Weight of First Year Students Weight in kg Frequency 75 – 79 1 70 – 74 4 65 – 69 10 60 – 64 14 55 – 59 21 50 – 54 15 45 – 69 14 40 – 44 1 3. Final Test Scores of IV-Rizal Score Frequency 91 – 95 1 86 – 90 5 81 – 85 9 76 – 80 16 71 – 75 6 66 – 70 3
  • 15. 15 4. Ages of Seniro Factory Employees Age Frequency 21 – 25 8 26 – 30 18 31 – 35 11 36 – 40 16 41 – 45 12 46 – 50 10 51 – 55 2 56 – 60 2 61 – 65 1 5. Average Grades of Students of Engineering Block in the First Semester Average Grade Frequency 1.01 – 1.50 4 1.51 – 2.00 10 2.01 – 2.50 18 2.51 – 3.00 26 3.01 – 3.50 24 3.51 – 4.00 16 4.01 – 4.50 7 4.51 – 5.00 5 Lesson 3 The Median of Grouped Data The median is the middle value in a set of quantities. It separates an ordered set of data into two equal parts. Half of the quantities found above the median and the other half is found below it. In computing for the median of grouped data, the following formula is used: mc mc f cf 2Median lb i f ∑ −   = +       where: lbmc is the lower boundary of the median class f is the frequency of each class cf is the cumulative frequency of the lower class next to the median class
  • 16. 16 fmc is the frequency of the median class i is the class interval The median class is the class that contains the f 2 ∑ th quantity. The computed median must be within the median class. Examples: 1. Compute the median of the scores of the students in a Mathematics IV test. Class Frequency 46 – 50 1 41 – 45 5 36 – 40 11 31 – 35 12 26 – 30 11 21 – 25 5 16 – 20 2 11 – 15 1 The frequency distribution for the data is given below. The columns for lb and “less than” cumulative frequency are added. Class f lb “<” cf 46 – 50 1 45.5 48 41 – 45 5 40.5 47 36 – 40 11 35.5 42 31 – 35 12 30.5 31 26 – 30 11 25.5 19 21 – 25 5 20.5 8 16 – 20 2 15.5 3 11 – 15 1 10.5 1 Since f 2 ∑ = 48 2 = 24, the 24th quantity is in the class 31 – 35. Hence, the median class is 31 – 35. lbmc = 30.5 ∑f = 48 cf = 19 fmc = 12 i = 5
  • 17. 17 mc mc f cf 2Median lb i f ∑ −   = +       48 19 2Median 30.5 (5) 12  −   = +       Median 30.5 2.08= + Median = 32.58 The median score is 32.58. 2. Solve for the median gross sale of Aling Mely’s Sari-sari Store for one month. Sales in Pesos Frequency 1,001 – 1,500 1 1,501 – 2,000 1 2,001 – 2,500 3 2,501 – 3,000 7 3,001 – 3,500 5 3,501 – 4,000 6 4,001 – 4,500 4 4,501 – 5,000 3 The frequency distribution for the data is given below. The columns for lb and “less than” cumulative frequency are added. Sales in Pesos f lb “<” cf 1,001 – 1,500 1 1,000.5 1 1,501 – 2,000 1 1,500.5 2 2,001 – 2,500 3 2,000.5 5 2,501 – 3,000 7 2,500.5 12 3,001 – 3,500 5 3,000.5 17 3,501 – 4,000 6 3,500.5 23 4,001 – 4,500 4 4,000.5 27 4,501 – 5,000 3 4,500.5 30 Since f 2 ∑ = 30 2 = 15, the 15th quantity is in the class 3,001 – 3,500. Hence, the median class is 3,001 – 3,500.
  • 18. 18 lbmc = 3,000.5 ∑f = 30 cf = 12 fmc = 5 i = 500 mc mc f cf 2Median lb i f ∑ −   = +       30 12 2Median 3,000.5 (500) 5  −   = +       Median = 3,000.5 + 300 Median = 3,300.5 The median score is 3,300.5. Try this out Solve for the median of each grouped data using coded deviation. Set A 1. Scores of Diagnostic Test of IV-Narra Students Score Frequency 36 – 40 1 31 – 35 10 26 – 20 10 21 – 25 16 16 – 20 9 11 – 15 4
  • 19. 19 2. Height of IV-1 and IV-2 Students Height in cm Frequency 175 – 179 2 170 – 174 5 165 – 169 8 160 – 164 11 155 – 159 21 150 – 154 14 145 – 169 17 140 – 144 2 3. Midyear Test Scores of IV-Newton Score Frequency 41 – 45 1 36 – 40 8 31 – 35 8 26 – 30 14 21 – 25 7 16 – 20 2 4. Ages of San Lorenzo High School Teachers Age Frequency 21 – 25 5 26 – 30 8 31 – 35 8 36 – 40 11 41 – 45 15 46 – 50 14 51 – 55 12 56 – 60 5 61 – 65 2
  • 20. 20 5. Pledges to the Victims of Typhoon Mulawin Pledges in Pesos Frequency 9,000 – 9,999 4 8,000 – 8,999 12 7,000 – 7,999 13 6,000 – 6,999 15 5,000 – 5,999 19 4,000 – 4,999 30 3,000 – 3,999 21 2,000 – 2,999 41 1,000 – 1,999 31 0 – 999 14 Set B 5. Scores of Periodic Test of IV-Molave Students Score Frequency 46 – 50 2 41 – 45 9 36 – 40 13 31 – 35 11 26 – 30 10 21 – 25 5 2. Height of IV-2 Students Height in cm Frequency 175 – 179 3 170 – 174 4 165 – 169 10 160 – 164 9 155 – 159 24 150 – 154 11 145 – 169 13 140 – 144 6
  • 21. 21 3. Midyear Test Scores of Students in Filipino Class Frequency 73 – 75 1 70 – 72 6 67 – 69 7 64 – 66 4 61 – 63 7 58 – 60 12 55 – 57 5 52 – 54 5 49 – 51 1 46 – 48 2 4. Ages of Tagkawayan High School Teachers Class Frequency 25 – 28 4 29 – 33 14 33 – 36 15 37 – 40 11 41 – 44 12 45 – 48 10 49 – 52 9 53 – 56 3 57 – 60 2 5. Monthly Income of the Families of Fourth Year Students Income in Pesos Frequency 9,000 – 9,999 18 8,000 – 8,999 22 7,000 – 7,999 33 6,000 – 6,999 56 5,000 – 5,999 50 4,000 – 4,999 31 Set C 1. Final Grades in Filipino of IV-Kamagong Students Score Frequency 89 – 91 2 86 – 88 9 83 – 85 8 80 – 82 13 77 – 79 12 74 – 76 6
  • 22. 22 2. Weight of First Year Students Weight in kg Frequency 93 – 99 1 86 – 92 4 79 – 85 10 72 – 78 14 65 – 71 21 58 – 64 15 51 – 57 14 44 – 50 1 3. Final Grades of IV-Rizal Students in Mathematics Score Frequency 93 – 95 1 90 – 92 5 87 – 89 9 84 – 86 16 81 – 83 6 78 – 80 3 4. Ages of IRSO Foods Company Workers Age Frequency 27 – 22 8 33 – 28 18 39 – 34 11 45 – 40 16 51 – 46 12 57 – 52 10 63 – 58 2 5. Average Grades of Students of Engineering Block in the First Semester Average Grade Frequency 1.01 – 1.50 4 1.51 – 2.00 10 2.01 – 2.50 18 2.51 – 3.00 26 3.01 – 3.50 24 3.51 – 4.00 16 4.01 – 4.50 7 4.51 – 5.00 5
  • 23. 23 Lesson 4 The Mode of Grouped Data The mode of grouped data can be approximated using the following formula: 1 mo 1 2 D Mode lb i D D   = +  +  where: lbmo is the lower boundary of the modal class. D1 is the difference between the frequencies of the modal class and the next lower class. D2 is the difference between the frequencies of the modalclass and the next upper class. i is the class interval. The modal class is the class with the highest frequency. If binomial classes exist, any of these classes may be considered as modal class. Examples: 1. Compute the mode of the scores of the students in a Mathematics IV test. Class Frequency 46 – 50 1 41 – 45 5 36 – 40 11 31 – 35 12 26 – 30 11 21 – 25 5 16 – 20 2 11 – 15 1
  • 24. 24 he frequency distribution for the data is given below. The column for lb is added. Class f lb 46 – 50 1 45.5 41 – 45 5 40.5 36 – 40 11 35.5 31 – 35 12 30.5 26 – 30 11 25.5 21 – 25 5 20.5 16 – 20 2 15.5 11 – 15 1 10.5 Since class 31 – 35 has the highest frequency, the modal class is 31 – 35. lbmo = 30.5 D1 = 12 – 11 = 1 D2 = 12 – 11 = 1 i = 5 1 mo 1 2 D Mode lb i D D   = +  +  1 Mode 30.5 (5) 1 1  = +  +  Mode = 30.5 + 2.5 Mode = 33 The mode score is 33. 2. Solve for the median gross sale of Aling Mely’s Sari-sari Store for one month. Sales in Pesos Frequency 1,001 – 1,500 1 1,501 – 2,000 1 2,001 – 2,500 3 2,501 – 3,000 7 3,001 – 3,500 5 3,501 – 4,000 6 4,001 – 4,500 4 4,501 – 5,000 3
  • 25. 25 The frequency distribution for the data is given below. The column for lb is added. Sales in Pesos f lb 1,001 – 1,500 1 1,000.5 1,501 – 2,000 1 1,500.5 2,001 – 2,500 3 2,000.5 2,501 – 3,000 7 2,500.5 3,001 – 3,500 5 3,000.5 3,501 – 4,000 6 3,500.5 4,001 – 4,500 4 4,000.5 4,501 – 5,000 3 4,500.5 Since the class 2,501 – 3,000 has the highest frequency, the modal class is 2,501 – 3,000. lbmo = 2,500.5 D1 = 7 – 3 = 4 D2 = 7 – 5 = 2 i = 500 1 mo 1 2 D Mode lb i D D   = +  +  4 Mode 2,500.5 (500) 4 2  = +  +  Mode = 2,500.5 + 333.33 Mode = 2,833.83 The mode score is 2,833.83. Try this out Solve for the mode of each grouped data. Set A 1. Scores of Diagnostic Test of IV-Narra Students Score Frequency 36 – 40 1 31 – 35 10 26 – 20 10 21 – 25 16 16 – 10 9 1 – 5 4
  • 26. 26 2. Height of IV-2 Students Height in cm Frequency 175 – 179 2 170 – 174 5 165 – 169 8 160 – 164 11 155 – 159 21 150 – 154 14 145 – 169 17 140 – 144 2 3. Midyear Test Scores of IV-Newton Score Frequency 41 – 45 1 36 – 40 8 31 – 35 8 26 – 30 14 21 – 25 7 16 – 20 2 4. Ages of San Lorenzo High School Teachers Age Frequency 21 – 25 5 26 – 30 8 31 – 35 8 36 – 40 11 41 – 45 15 46 – 50 14 51 – 55 12 56 – 60 5 61 – 65 2
  • 27. 27 5. Pledges to the Victims of Typhoon Mulawin Pledges in Pesos Frequency 9,000 – 9,999 4 8,000 – 8,999 12 7,000 – 7,999 13 6,000 – 6,999 15 5,000 – 5,999 19 4,000 – 4,999 30 3,000 – 3,999 21 2,000 – 2,999 41 1,000 – 1,999 31 0 – 999 14 Set B 1. Scores of Periodic Test of IV-Molave Students Score Frequency 46 – 50 2 41 – 45 9 36 – 40 13 31 – 35 11 26 – 30 10 21 – 25 5 2. Height of IV-2 Students Height in cm Frequency 175 – 179 3 170 – 174 4 165 – 169 10 160 – 164 9 155 – 159 24 150 – 154 11 145 – 169 13 140 – 144 6
  • 28. 28 3. Midyear Test Scores of Students in English Class Frequency 91 – 95 1 86 – 90 6 81 – 85 7 76 – 80 4 71 – 75 7 66 – 70 12 61 – 65 5 56 – 80 5 51 – 55 1 46 – 50 2 4. Ages of Sta. Barbara High School Teachers Class Frequency 21 – 25 4 26 – 30 14 31 – 35 15 36 – 40 11 41 – 45 12 46 – 50 10 51 – 55 9 56 – 60 3 61 – 65 1 5. Monthly Income of the Families of Fourth Year Students Income in Pesos Frequency 9,000 – 9,999 18 8,000 – 8,999 22 7,000 – 7,999 33 6,000 – 6,999 56 5,000 – 5,999 50 4,000 – 4,999 31
  • 29. 29 Set C 1. Scores of Achievement Test in Filipino of IV-Kamagong Students Score Frequency 86 – 90 2 81 – 85 9 76 – 80 8 71 – 75 13 66 – 60 12 61 – 65 6 2. Weight of First Year Students Weight in kg Frequency 75 – 79 1 70 – 74 4 65 – 69 10 60 – 64 14 55 – 59 21 50 – 54 15 45 – 69 14 40 – 44 1 3. Final Test Scores of IV-Rizal Score Frequency 91 – 95 1 86 – 90 5 81 – 85 9 76 – 80 16 71 – 75 6 56 – 70 3 4. Ages of Seniro Factory Employees Age Frequency 21 – 25 8 26 – 30 18 31 – 35 11 36 – 40 16 41 – 45 12 46 – 50 10 51 – 55 2 56 – 60 2 61 – 65 1
  • 30. 30 5. Average Grades of Students of Engineering Block in the First Semester Average Grade Frequency 1.01 – 1.50 4 1.51 – 2.00 10 2.01 – 2.50 18 2.51 – 3.00 26 3.01 – 3.50 24 3.51 – 4.00 16 4.01 – 4.50 7 4.51 – 5.00 5 Let’s summarize 1. When the number of items in a set of data is too big, items are grouped for convenience. The manner of computing for the mean of grouped data is given by the formula: (fX) Mean f ∑ = ∑ where: f is the frequency of each class X is the class mark of class 2. An alternative formula for computing the mean of grouped data makes use of coded deviation: (fd) Mean A.M. i f ∑  = +  ∑  where: A.M. is the assumed mean f is the frequency of each class d is the coded deviation from A.M. i is the class interval Any class mark can be considered as assumed mean. But it is convenient to choose the class mark with the highest frequency. The class chosen to contain A.M. is given a 0 deviation. Subsequently, consecutive positive integers are assigned to the classes upward and negative integers to the classes downward. .
  • 31. 31 3. In computing for the median of grouped data, the following formula is used: mc mc f cf 2Median lb i f ∑ −   = +       where: lbmc is the lower boundary of the median class f is the frequency of each class cf is the cumulative frequency of the lower class next to the median class fmc is the frequency of the median class i is the class interval The median class is the class that contains the f 2 ∑ th quantity. The computed median must be within the median class 4. The mode of grouped data can be approximated using the following formula: 1 mo 1 2 D Mode lb i D D   = +  +  where: lbmo is the lower boundary of the modal class D1 is the difference between the frequencies of the modal class and the next upper class D2 is the difference between the frequencies of the modal class and the next lower class i is the class interval The modal class is the class with the highest frequency. If binomial classes exist, any of these classes may be considered as modal class
  • 32. 32 What have you learned Use the frequency distribution table below to answer the questions. Scores of Students in a Mathematics IV Test Class Frequency 46 – 50 1 41 – 45 2 36 – 40 3 31 – 35 10 26 – 30 6 21 – 25 9 16 – 20 5 11 – 15 6 6 – 10 4 1 – 5 2 1. What is the class size? 2. What is the class mark of the class with the highest frequency? 3. What is fX∑ ? 4. Find the mean score. 5. What is the median class? 6. Determine the cumulative frequency of the median class. 7. Solve for the median score. 8. What is the modal class? 9. Determine the lower boundary of the modal class 10.Compute for the modal score.
  • 33. 33 Answer Key How much do you know 1. 50 2. 18 3. 1,085 4. 21.7 5. 16 – 20 6. 25 7. 20.5 8. 16 – 25 9. 15.5 10.19 Try this out Lesson 1 Set A Set B Set C 1. 24.6 1. 34.7 1. 73.8 2. 156.75 cm 2. 156.88 cm 2. 57.5 kg 3. 30 3. 71.9 3. 79.25 4. 42.38 years 4. 39.63 years 4. 36.75 years 5. P4,019.50 5. P6,589.98 5. 2.97 Lesson 2 Set A Set B Set C 1. 24.6 1. 34.7 1. 73.8 2. 156.75 cm 2. 156.88 cm 2. 57.5 kg 3. 30 3. 71.9 3. 79.25 4. 42.38 years 4. 39.63 years 4. 36.75 years 5. P4,019.50 5. P6,589.98 5. 2.97 Lesson 3 Set A Set B Set C 1. 24.25 1. 35.05 1. 81.12 2. 156.17 cm 2. 156.58 cm 2. 67.83 kg 3. 29.43 3. 60.5 3. 85.56 4. 43.17 years 4. 39.05 years 4. 34.31 years 5. P3,666.17 5. P6,428.07 5. 3.39
  • 34. 34 Lesson 4 Set A Set B Set C 1. 23.19 1. 37.17 1. 71.33 2. 156.56 cm 2. 156.82 cm 2. 56.81 kg 3. 28.19 3. 68.42 3. 78.44 4. 44.5 years 4. 30.5 years 4. 28.44 years 5. P2,332.83 5. P6,206.40 5. 2.905 What have you learned 1. 47 2. 33 3. 1,159 4. 24.15 5. 21 – 25 6. 26 7. 24.39 8. 31 – 35 9. 30.5 10.32.32