SlideShare ist ein Scribd-Unternehmen logo
1 von 38
Mathematics Project
The Monthly Expenses by Male and Female Student
of Taylor‟s University Lakeside Campus

Lecture: Ms. Ann See Peng
Group Members: Kelvin Ng (0315081)
:Tan Wen Hao (0313690)
:Low Jia Cheng (0314883)
:LokeChingYan (0314657)
:Voon Sze Lun (0315032)
Table of Content
Title

Page

Front Page

1

Table of Content

2

Introduction

3

Objectives

4

Methodology

5-9

Survey Forms

10-210

Analysis

211-239

Conclusion

240
Introduction
This is a mathematics project which is about the “Statistic” conducted by a group of 5
students Kelvin Ng, Tan Wen Hao, Low Jia Cheng, LokeChing Yan and Voon Sze Lun
from Taylor‟s University Lakeside Campus and guided by their lecture Ms. Ann See
Peng. This assignment intended to familiarize us with some of the basic concepts and
skills related to statistic. Statistics is a set of tools used to organize and analyze data. Data
must either be numeric in origin or transformed by researchers into numbers.Statistics is
one of the mathematics which occurs in collection, organization and interpretation of
numerical data especially the analysis of population characteristics by inference from
sampling. For instance, statistics could be used to analyze percentage and it‟s also
frequently used for purposes of prediction. The surveybrings the opportunity and remarks
us about the importance of saving on daily unnecessary expenses. Through the survey, it
shows that the average monthly spending of the students according to their necessary
needs and the entertainment lifestyle as the student. In addition, we learn to find out the
difference of male and female on their monthly expenses. This highlights the spending of
the students and it lets the students to know that they should learn to spend smartly
towards the necessarythings.
Objective
The aim of this project gives us to learn how to collect and organize statistical data. For
example, we learn to solve problems when distributing the survey form to people.
Besides, it enables us to apply the knowledge which gained to analyze statistical data and
draw conclusion from the data. Moreover, we can also learn to solve the problems with
various mathematical principles. In addition, we‟re able to present for some simple
statistical data. By doing this assignment, we can also fully understand and apply
fundamental mathematical principles in the way of statistics question. For example, we
learn to use the various types of mathematical principles in our daily life and of course in
the mathematics question. The objective for this project is also to make inferences about
a sample based on information we get from a population and also to use population mean,
as an estimate of the sample mean so that we can get a more accurate results at the end.
In addition, it also makes inferences about a population based on information we get from
a sample taken the population. Through this project, we can also make some inferences
about a sample with a high degree of reliability in order to achieve to purpose. Lastly,
we‟re also able to understand better about the concept of comparative analysis and
gaining more knowledge in understanding the statistical analysis.
Methodology

Research was taken at SLC.
Research was taken at Student Central.
Research was taken at Commercial Block (1)
Research was taken at Commercial Block (2)
Research was taken at Commercial Block (3)
1. Study Expenses of Male and Female
Frequency, f

Frequency, f

Study Materials(RM)
0 - 49
50 - 99
100 - 149
150 - 199
200 - 249
250 - 299

Male
3
7
13
21
28
23

Female
6
12
22
27
20
11

299 above

5

2

Number of Students (amount of spending on study
materials)
30
25
20
Male

15

Female
10
5
0
0 - 49

50 - 99 100 - 149150 - 199200 - 249250 - 299299 above

Figure 1.1
Figure 1.1 shows the number of students according to the expenses of study materials in
Taylor‟s University. Analysis shown that there are 3 male students and 6 female students
spend RM0-49 for the study materials. There are 7 male students and 12 female students
spend RM-99 for the study materials. There are 13 male students and 22 female students
spend RM100-149 on study materials. 21 male students and 27 female students spend
RM150-199 on study materials. There are 28 male students and 20 female students spend
RM200-249 for the study materials. For those who spend RM250-299, there are 23 male
students and 11 female students. There are 5 male students and 2 female students spend
RM299 above

Study male:
medium: 199.5 + [(100/2 – 44) / 28] x 50 = 210.21
mean: [24.5(3) + 74.5(7) + 124.5(13) + 174.5(21) + 224.5(28) 274.5(23) + 324.5(5)] / 100 = 137.86
mode: 199.5 + ([28-21] / [28-21]+[28-23]) x 50 = 178.67
variance: 45310.4896/100-1 = 457.68
standard deviation: ^457.68 = 21.39
Study Female:
medium: 149.5 + [(100/2 – 40) / 27] x 50 = 168.02
mean: [24.5(6) + 74.5(12) + 124.5(22) + 174.5(27) + 224.5(20) 274.5(11) + 324.5(2)] / 100 = 166.5
mode: 149.5 + ([27-22] / [27-22]+[28-20]) x 50 = 168.73
variance: 14452 / 100 – 1 =146
standard deviation: ^146 = 12.08
2. Food Expenses of Male and Female
OVERALL
Frequency, f

Frequency, f

Food Expenses(RM)
0 - 149
150 - 299
300 - 449
450 - 599
601 - 749
750 - 899

Male
2
15
21
30
19
10

Female
1
19
26
28
17
7

900 above

3

2

Number of Students (amount of foodexpenses)
35
30
25
20
Male
15

female

10
5
0
0 - 149 150 - 299 300 - 449 450 - 599 601 - 749 750 - 899900 above

Figure 1.2
Figure 1.2 shows the number of students according to the expenses on food in Taylor‟s
University. Analysis shown that there are 2 male students and 1 female student spends
RM0-149 on food. There are 15 male students and 19 female students spend RM150-299
spend on food. 21 male students and 26 female students spend RM300-449 on food. 30
male students and 28 female students spend RM450-599 on food. There are 19 male
students and 17 female students spend RM601-749 on food. 10 male students and 7
female students spend RM 750-899 on food. For those who spend RM900 above on food,
there are 3 male students and 2 female students.

food male:
medium: 449.5 + [(100/2 –38) / 30] x 150 = 509.5
mean: [74.5(3) + 224.5(7) + 374.5(13) + 524.5(21) + 674.5(28)+824.5(23)+974.5(5)] /100 =600.49
mode: 449.5 + ([30-21] / [30-21]+[30-19]) x 150 = 517
variance: 670421.36 / 100 – 1 =6771.93
standard deviation: ^6771.93 = 82.29
foodfemale:
medium: 449.5 + [(100/2 –46) / 28] x 150 = 470.93
mean: [74.5(1) + 224.5(19) + 374.5(26) + 524.5(28) + 674.5(17) 824.5(7) + 974.5(2)] / 100= 479.5
mode: 449.5 + ([28-26] / [28-26]+[28-17]) x 150 = 466.17
variance: 629775 / 100 – 1 =6361.36
standard deviation: ^6361.36 = 79.76
3. Clothes Expenses of Male and Female
OVERALL
Frequency, f

Frequency, f

Clothes Expenses(RM)

Male

Female

0 - 49
50 - 99
100 - 149
150 - 199
200 - 249
250 - 299

11
16
32
19
13
6

4
7
11
20
28
21

299 above

3

9

Number of Students (amount of clothes expenses)
35
30
25
20
Male

15

Female

10
5
0
0 - 49

50 - 99

100 149

150 199

200 249

250 299

299
above

Figure 1.3
Figure 1.3 shows the number of students according to the expenses on their clothes in
Taylor‟s University. Analysis shown that there are 11 male students and 4 female
students spend RM0-49 on clothes. 16 male students and 7 female students spend RM5099 on clothes. There are 32 male students and 11 female students spend RM100-149 on
clothes. For those who spend RM150-199 on clothes, there are 19 male students and 20
female students. There are 13 male students and 28 female students spend RM200-249 on
clothes. 6 male students and 21 female students spend RM250-299 on clothes. 3 male
students and 9 female students spend RM299 above on clothes

cloth male:
medium: 99.5 + [(100/2 –27) / 32] x 50 = 135.44
mean: [24.5(11) + 74.5(16) + 124.5(32) + 174.5(19) + 224.5(13) 274.5(6) + 324.5(3)] / 100=143
mode: 99.5 + ([32-16] / [32-16]+[32-19]) x 50= 127.09
variance: 97376.5 / 100 – 1 =983.6
standard deviation: ^983.6 = 31.36
Cloth female:
medium: 199.5 + [(100/2 –42) / 28] x 50=213.79
mean: [24.5(4) + 74.5(7) + 124.5(11) + 174.5(20) + 224.5(28) 274.5(21) + 324.5(9)] / 100=204.5
mode: 199.5 + ([28-20] / [28-20]+[28-21]) x 50 = 226.17
variance: 76300 / 100 – 1 =770.71
standard deviation: ^770.71 = 27.76
4. Travelling Expenses of Male and Female
OVERALL
Frequency, f

Frequency, f

Travelling Expenses(RM)

Male

Female

0 - 49
50 - 99
100 - 149
150 - 199
200 - 249
250 - 299

7
13
15
19
22
16

10
14
16
18
20
15

299 above

8

7

Number of Students (amount of travellingexpenses)
25
20
15
Male

10

Female

5
0
0 - 49

50 - 99

100 149

150 199

200 249

250 299

299
above

Figure 1.4
Figure 1.4 shows the number of students according to the expenses on their travelling in
Taylor‟s University. Analysis shown that there are 7 male students and 10 female
students spend RM0-49 on travelling. 13 male students and 14 female students spend
RM50-99 on travelling. There are 15 male students and 16 female students spend
RM100-149 on travelling. For those who spend RM150-199 on travelling, there are 19
male students and 18 female students. There are 22 male students and 20 female students
spend RM200-249 on travelling. 16 male students and 15 female students spend RM250299 on travelling. 8 male students and 7 female students spend RM299 above on
travelling.

Traveling male:
medium: 149.5 + [(100/2 –35) / 19] x 50 = 188.97
mean: [24.5(7) + 74.5(13) + 124.5(15) + 174.5(19) + 224.5(22) 274.5(16) + 324.5(8)] / 100 = 182.5
mode: 199.5 + ([22-19] / [22-19]+[22-16]) x 50 = 216.17
variance: 68708 / 100 – 1 =694.02
standard deviation: ^694.02 = 26.34
Traveling female:
medium: 149.5 + [(100/2 –40) / 18] x 50 = 177.28
mean: [24.5(10) + 74.5(14)+124.5(16)+174.5(18) + 224.5(20) 274.5(5) + 324.5(7)] / 100 = 145.55
mode: 199.5 + ([20-18] / [20-18]+[20-15]) x 50 = 213.78
variance: 75866.7175 / 100 – 1 =766.33
standard deviation: ^766.33 = 27.68
5. Entertainment Expenses of Male and

Female
Frequency, f

Frequency, f

Entertainment Expenses(RM)

Male

Female

0 - 49
50 - 99
100 - 149
150 - 199
200 - 249
250 - 299

3
4
9
14
23
26

3
6
10
18
22
24

299 above

21

17

OVERALL
Number of Students (amount of entertainment expenses)
30
25
20
15

Male
Female

10
5
0
0 - 49

50 - 99

100 149

150 199

200 249

250 299

299
above

Figure 1.5
Figure 1.5 shows the number of students according to the expenses on entertainment in
Taylor‟s University. Analysis shown that there are 3 male students and 3 female students
spend RM0-149 on entertainment. There are 4 male students and 6 female students spend
RM150-299 spend on entertainment. 9 male students and 10 female students spend
RM300-449 on food. 14 male students and 18 female students spend RM450-599 on
entertainment. There are 23 male students and 22 female students spend RM601-749 on
entertainment. 26 male students and 24 female students spend RM 750-899 on
entertainment. For those who spend RM900 above on entertainment, there are 21 male
students and 17 female students.

Entertainment male:
medium: 149.5 + [(100/2 –30) / 14] x 50 = 220.92
mean: [24.5(3) + 74.5(4) + 124.5(9) + 174.5(14) + 224.5(23) 274.5(26) + 324.5(21)] / 100 = 230.5
mode: 249.5 + ([26-23] / [26-23]+[26-21]) x 50 – 268.25
variance: 91952 / 100 – 1 =928.81
standard deviation: ^928.81 = 30.48
Entertainmentfemale:
medium: 199.5 + [(100/2 –37) / 18] x 50 = 235.6
mean: [24.5(3)+74.5(6)+124.5(10)+174.5(18)+224.5(22) 274.5(24)+324.5(17)]/100=219.5
mode: 249.5 + ([24-22] / [24-22]+[24-17]) x 50=260.61
variance: 84175/ 100 – 1 =850.25
standard deviation: ^850.25 = 29.16
6.Accommodation Expenses of Male and

Female
Frequency, f

Frequency, f

Accommodation Expenses(RM)
0 - 149
150 - 299
300 - 449
450 - 599
601 - 749
750 - 899

Male
4
7
14
26
22
16

Female
2
6
13
27
23
17

900 above

11

12

Number of Students (amount of accommodation expenses)
30
25
20
15

Male
Female

10
5
0
0 - 149

150 299

300 449

450 599

601 749

750 899

900
above

Figure 1.6
Figure 1.6 shows the number of students according to the expenses on their
accommodation in Taylor‟s University. Analysis shown that there are 4 male students
and 2 female students spends RM0-149 on accommodation. There are 7 male students
and 6 female students spend RM150-299 spend on accommodation. 14 male students and
13 female students spend RM300-449 on accommodation. 26 male students and 27
female students spend RM450-599 on accommodation. There are 22 male students and
23 female students spend RM601-749 on accommodation. 16 male students and 17
female students spend RM 750-899 on accommodation. For those who spend RM900
above on accommodation, there are 11 male students and 12 female students.

Accommodation male:
medium: 299.5 + [(100/2 –25) / 14] x 150 = 567.36
mean: [74.5(4) + 224.5(7) + 374.5(14) + 524.5(26) + 674.5(22) 824.5(16) + 974.5(11)]/100=445.1
mode: 449.5 + ([26-14] / [26-14]+[26-22]) x 150 = 511.59
variance: 674130.52/ 100 – 1 =6809.4
standard deviation: ^6809.4 = 82.52
Accommodationfemale:
medium: 599.5 + [(100/2 –48) / 23] x 150 = 612.5
mean: [74.5(2) + 224.5(6) + 374.5(13) + 524.5(27) + 674.5(23) 824.5(17) + 974.5(12)] /100=617.5
mode: 449.5 + ([27-13] / [27-13]+[27-23]) x 150 = 458.43
variance: 746343/ 100 – 1 =7538.82
standard deviation: ^7538.82 = 86.83
7. Junk Food Expenses of Male and Female
OVERALL
Frequency, f

Frequency, f

Junk Food Expenses(RM)

Male

Female

0 - 49
50 - 99
100 - 149
150 - 199
200 - 249
250 - 299

8
12
17
22
19
13

13
16
19
20
15
10

299 above

9

7

Number of Students (amount of junk food expenses)
25
20
15
Male

10

Female

5
0
0 - 49

50 - 99

100 149

150 199

200 249

250 299

299
above

Figure 1.7
Figure 1.7 shows the number of students according to the expenses on junk food in
Taylor‟s University. Analysis shown that there are 8 male students and 13 female
students spend RM0-49 on junk food. 12 male students and 16 female students spend
RM50-99 on junk food. There are 17 male students and 19 female students spend
RM100-149 on junk food. For those who spend RM150-199 on junk food, there are 22
male students and 20 female students. There are 19 male students and 15 female students
spend RM200-249 on junk food. 13 male students and 10 female students spend RM250299 on junk food. 9 male students and 7 female students spend RM299 above on junk
food.

Junk food male:
medium: 149.5 + [(100/2 –37) / 22] x 50 = 179.05
mean: [24.5(8) + 74.5(12) + 124.5(17) + 174.5(22) + 224.5(19) 274.5(13) + 324.5(9)] / 100= 178
mode: 149.5 + ([22-17] / [22-17]+[22-19]) x 50 = 180.75
variance: 187993 / 100 – 1 =1898.93
standard deviation: ^1898.93 = 43.58
Junk foodfemale:
medium: 149.5 + [(100/2 –48) / 20] x 50 =154.5
mean: [24.5(13) + 74.5(16) + 124.5(19) + 174.5(20) + 224.5(15) 274.5(10) + 324.5(7)] /100=157.5
mode: 149.5 + ([20-19] / [20-19]+[20-15]) x 50 = 157.83
variance: 44169 / 100 – 1 =446.15
standard deviation: ^1898.93 = 21.12
8. Petrol Expenses of Male and Female
OVERALL
Frequency, f

Frequency, f

Petrol Expenses(RM)

Male

Female

0 - 49
50 - 99
100 - 149
150 - 199
200 - 249
250 - 299

13
15
19
25
13
10

16
19
23
22
10
7

299 above

5

3

Number of Students (amount of petrol expenses)
30
25
20
15

Male
Female

10
5
0
0 - 49

50 - 99 100 - 149150 - 199200 - 249250 - 299

299
above

Figure 1.8
Figure 1.8 shows the number of students according to the expenses on petrol in Taylor‟s
University. Analysis shown that there are 13 male students and 16 female students spend
RM0-49 on petrol. 15 male students and 19 female students spend RM50-99 on petrol.
There are 19 male students and 23 female students spend RM100-149 on petrol. For
those who spend RM150-199 on petrol, there are 25 male students and 22 female
students. There are 13 male students and 10 female students spend RM200-249 on petrol.
10 male students and 7 female students spend RM250-299 on petrol. 5 male students and
3 female students spend RM299 above on petrol.

Petrol male:
medium: 149.5 + [(100/2 –47) / 25] x 50 = 155.5
mean: [24.5(13) + 74.5(15) + 124.5(19) + 174.5(25) + 224.5(13) 274.5(10) + 324.5(5)] /100=128.5
mode: 149.5 + ([25-19] / [25-19]+[25-13]) x 50= 166.17
variance: 79372 / 100 – 1 =801.74
standard deviation: ^801.74 = 28.32
Petrolfemale:
medium: 99.5 + [(100/2 –35) / 23] x 50 = 132.11
mean: [24.5(16) + 74.5(19) + 124.5(23) + 174.5(22) + 224.5(10) 274.5(7) + 324.5(3)] / 100=116.5
mode: 99.5 + ([23-19] / [23-19]+[23-22]) x 50 = 139.5
variance: 93548 / 100 – 1 =944.93
standard deviation: ^944.93 = 30.74
9. IT Expenses of Male and Female
OVERALL
Frequency, f

Frequency, f

IT Expenses(RM)

Male

Female

0 - 49
50 - 99
100 - 149
150 - 199
200 - 249
250 - 299

6
9
11
14
17
24

7
11
12
13
16
23

299 above

19

18

Number of Students (amount of IT expenses)
30
25
20
15

Male
Female

10
5
0
0 - 49

50 - 99

100 149

150 199

200 249

250 299

299
above

Figure 1.9
Figure 1.9 shows the number of students according to the expenses on IT in Taylor‟s
University. Analysis shown that there are 6 male students and 7 female students spend
RM0-49 on IT. 9 male students and 11 female students spend RM50-99 on IT. There are
11 male students and 12 female students spend RM100-149 on IT. For those who spend
RM150-199 on IT, there are 14 male students and 13 female students. There are 17 male
students and 16 female students spend RM200-249 on IT. 24 male students and 23
female students spend RM250-299 on IT. 19 male students and 18 female students spend
RM299 above on IT.

IT male:
medium: 199.5 + [(100/2 –40) / 17] x 50 = 228.91
mean: [24.5(6) + 74.5(9) + 124.5(11) + 174.5(14) + 224.5(17) 274.5(24) + 324.5(19)] / 100=212
mode: 249.5 + ([24-17] / [24-17]+[24-19]) x 50 = 278.67
variance: 79843 / 100 – 1 =806.5
standard deviation: ^806.5 = 28.4
IT female:
medium: 199.5 + [(100/2 –43) / 16] x 50 = 221.38
mean: [24.5(7) + 74.5(11) + 124.5(12) + 174.5(13) + 224.5(16) 274.5(23) + 324.5(18)] / 100=205
mode: 249.5 + ([23-16] / [23-16]+[23-18]) x 50 = 278.66
variance: 62611 / 100 – 1 =632.44
standard deviation: ^632.44 = 25.15
10. Telecommunication Expenses of Male and

Female
Frequency, f

Frequency, f

IT Expenses(RM)

Male

Female

0 - 49
50 - 99
100 - 149
150 - 199
200 - 249
250 - 299

5
12
16
24
20
15

7
16
18
22
17
12

299 above

8

8

Number of Students (amount of telecommunication
expenses)
30
25
20
15

Male
Female

10
5
0
0 - 49

50 - 99

100 149

150 199

200 249

250 299

299
above

Figure 1.10
Figure 1.9 shows the number of students according to the expenses on telecommunication
in Taylor‟s University. Analysis shown that there are 5 male students and 7 female
students spend RM0-49 on telecommunication. 12 male students and 16 female students
spend RM50-99 on telecommunication. There are 16 male students and 18 female
students spend RM100-149 on telecommunication. For those who spend RM150-199 on
telecommunication, there are 24 male students and 17 female students. There are 20 male
students and 17 female students spend RM200-249 on telecommunication. 15 male
students and 12 female students spend RM250-299 on telecommunication. 8 male
students and 8 female students spend RM299 above on telecommunication.

Telecommunication male:
medium: 149.5 + [(100/2 –33) / 24] x 50 = 184.92
mean: [24.5(5) + 74.5(12) + 124.5(16) + 174.5(24) + 224.5(20) 274.5(15) + 324.5(8)] / 100=184
mode: 149.5 + ([24-16] / [24-16]+[24-20]) x 50=182.83
variance: 70631/ 100 – 1 =713.45
standard deviation: ^6713.45 = 26.71
Telecommunicationfemale:
medium: 149.5 + [(100/2 –41) / 22] x 50 = 169.95
mean: [24.5(7) + 74.5(16) + 124.5(18) + 174.5(22) + 224.5(17) 274.5(12) + 324.5(8)] / 100=171.5
mode: 149.5 + ([22-18] / [22-18]+[22-17]) x 50=171.72
variance: 70063/ 100 – 1 =707.71
standard deviation: ^707.71 = 26.6
11. The Students who stay at Hostel
Figure 11.1 and figure 11.2 show the percentage of the students who stay at the hostel.

The percentage of the students who stay at hostel

male
yes
27%
no
73%

Figure 11.1

female
1
26%
2
74%

Figure 11.2

According to the survey we have done with the male students, there are 27% reply „Yes‟
and 73% reply „No‟. In figure 11.2, there are 26% female students reply „Yes‟ and 74%
reply „No‟.
12. Junk Food Consumption
Figure 12.1 and figure 12.2 show the percentage of the students who take junk food.

The percentage of the students who take junk food.
more
than 9
hours
9%

male

less 3
hours
19%

6-9
hours
31%

3-6
hours
41%

Figure 12.1

4
10%

female

1
18%

3
40%
2
32%

Figure 12.2

According to the survey we have done with the male students, there are 19% male student
take junk food less than 3 hours, 41% take junk food in between 3 to 6 hours, 31% take
junk food in between 6 to 9 hours and 9% take more than 9 hours. In figure 12.2, there
are 18% female students take junk food less than 3 hours, 32% takes 3 to 6 hours, 40%
takes 6 to 9 hours and 10% takes more than 9 hours.
13. The Students who drive car
Figure 13.1 and figure 13.2 show the percentage of the students who drive car to school.

The percentage of the students who drive car to school.

male
no
47%

yes
53%

Figure 13.1

female
2
58%

1
42%

Figure 13.2

According to the survey we have done with the male students, there are 53% reply „Yes‟
and 47% reply „No‟. In figure 13.2, there are 42% female students reply „Yes‟ and 58%
reply „No‟.
14. The Students use IT
Figure 14.1 and figure 14.2 show the percentage of the students who use IT.

The percentage of the students who use IT.

male
no
40%

yes
60%

Figure 14.1

female
2
45%

1
55%

Figure 14.2

According to the survey we have done with the male students, there are 60% reply‟ Yes‟
and 40% reply „No‟. In figure 14.2, there are 55% female student reply „Yes‟ and 45%
reply „No‟.
15. Students who use Internet
Figure 15.1 and figure 15.2 show the percentage of the students who use Internet.

The percentage of the students who use Internet.
more
than 6
hours
28%

male

less
than 1
hour
14%
1-3
hours
17%

3-6
hours
41%

Figure 15.1

female
4
20%

3
40%

1
18%

2
22%

Figure 15.2

According to the survey we have done with the male students, there are 14% use Internet
less than 1 hour, 17% use internet in 1 to 3 hours, 41% use internet in 3 to 6 hours and 28%
use internet more than 6 hours. In figure 15.2, there are 18% female student uses internet
less than 1 hour, 22% use the internet in 1 to 3 hours, 40% use internet in 3 to 6 hours and
20% use more than 6 hours.
16. Students who use Phone
Figure 16.1 and figure 16.2 show the percentage of the students who use Phone.

The percentage of the students who use Phone.

more
than 45
minutes
31%

less than
15
minutes
7%

male

15 - 30
minutes
20%
30 - 45
minutes
42%

Figure 16.1

female
4
26%

1
11%

2
25%

3
38%

Figure 16.2

According to the survey we have done with the male students, there are 7% use phone
less than 15 minutes, 20% use phone in 15 to 30 minutes, 42% use phone in 30 to 45
minutes and 31% use phone more than 45 minutes. In figure 16.2, there are 11% female
student use phone less than 15 minutes, 25% use phone in 15 to 30 minutes, 38% use
phone in 30 to 45 minutes and 26% use phone more than 45 minutes.
17. Students who use Phone
Figure 17.1 and figure 17.2 show the percentage of the students who use the type of
phone brand.

The percentage of the students who the phone brand.

male
other
20%
Apple
37%

nokia
10%
samsung
33%

Figure 17.1

female
4
25%
3
5%

1
40%

2
30%

Figure 17.2

According to the survey we have done with the male students, there are 37% prefer Apple,
33% prefer Samsung, 10% prefer Nokia and 20% prefer the others. In figure 17.2, 40%
female student prefers Apple, 30% prefer Samsung, 5% prefer Nokia and 25% prefer the
others.
18. Students who use Phone
Figure 18.1 and figure 18.2 show the percentage of the students who are smart spending.

The percentage of the students who are smart spending.

male
no
42%
yes
58%

Figure 18.1

female

2
56%

1
44%

Figure 18.2

According to the survey we have done with the male students, there are 58% reply „Yes‟
and 42% reply‟ No‟. In figure 18.2, there are 44% female students reply „Yes‟ and 56%
reply „No‟.
Conclusion
The survey gives us the opportunity to analyze and solve problems that involve various
mathematical principles. Through the surveys, we learn to collect, organize, present and
draw conclusion for simple statistical data. It also gives us a better understanding to apply
the correct fundamental mathematical principles.

Weitere ähnliche Inhalte

Ähnlich wie Mathematics Report

4. conceptualizing institutional policies for students’ academic success in c...
4. conceptualizing institutional policies for students’ academic success in c...4. conceptualizing institutional policies for students’ academic success in c...
4. conceptualizing institutional policies for students’ academic success in c...University of Battambang (UBB)
 
Conceptualizing institutional policies for students’ academic success in camb...
Conceptualizing institutional policies for students’ academic success in camb...Conceptualizing institutional policies for students’ academic success in camb...
Conceptualizing institutional policies for students’ academic success in camb...Sam Rany
 
A Longitudinal Study of Undergraduate Performance in Mathematics, an Applicat...
A Longitudinal Study of Undergraduate Performance in Mathematics, an Applicat...A Longitudinal Study of Undergraduate Performance in Mathematics, an Applicat...
A Longitudinal Study of Undergraduate Performance in Mathematics, an Applicat...iosrjce
 
CHAPTER FOUR DATA ANALYSIS AND RESULTS.pdf
CHAPTER FOUR DATA ANALYSIS AND RESULTS.pdfCHAPTER FOUR DATA ANALYSIS AND RESULTS.pdf
CHAPTER FOUR DATA ANALYSIS AND RESULTS.pdfzoefoster8
 
Gender Participation and Performance of Pre-Service Teachers in Physics Educa...
Gender Participation and Performance of Pre-Service Teachers in Physics Educa...Gender Participation and Performance of Pre-Service Teachers in Physics Educa...
Gender Participation and Performance of Pre-Service Teachers in Physics Educa...iosrjce
 
UTEP UNIV 1301 - Preparing 21st Century Engineers
UTEP UNIV 1301 - Preparing 21st Century EngineersUTEP UNIV 1301 - Preparing 21st Century Engineers
UTEP UNIV 1301 - Preparing 21st Century EngineersJoe Ramos
 
American education today
American education todayAmerican education today
American education todayTrevour Smith
 
How to assemble your TWS planning document Fall 2013
How to assemble your TWS planning document Fall 2013How to assemble your TWS planning document Fall 2013
How to assemble your TWS planning document Fall 2013Janet Painter
 
Gender Stereotyping through Textbook Illustrations
Gender Stereotyping through Textbook IllustrationsGender Stereotyping through Textbook Illustrations
Gender Stereotyping through Textbook Illustrationswassila Null
 

Ähnlich wie Mathematics Report (20)

Grds conferences icst and icbelsh (2)
Grds conferences icst and icbelsh (2)Grds conferences icst and icbelsh (2)
Grds conferences icst and icbelsh (2)
 
4. conceptualizing institutional policies for students’ academic success in c...
4. conceptualizing institutional policies for students’ academic success in c...4. conceptualizing institutional policies for students’ academic success in c...
4. conceptualizing institutional policies for students’ academic success in c...
 
Conceptualizing institutional policies for students’ academic success in camb...
Conceptualizing institutional policies for students’ academic success in camb...Conceptualizing institutional policies for students’ academic success in camb...
Conceptualizing institutional policies for students’ academic success in camb...
 
Data Presentation
Data PresentationData Presentation
Data Presentation
 
A Longitudinal Study of Undergraduate Performance in Mathematics, an Applicat...
A Longitudinal Study of Undergraduate Performance in Mathematics, an Applicat...A Longitudinal Study of Undergraduate Performance in Mathematics, an Applicat...
A Longitudinal Study of Undergraduate Performance in Mathematics, an Applicat...
 
CHAPTER FOUR DATA ANALYSIS AND RESULTS.pdf
CHAPTER FOUR DATA ANALYSIS AND RESULTS.pdfCHAPTER FOUR DATA ANALYSIS AND RESULTS.pdf
CHAPTER FOUR DATA ANALYSIS AND RESULTS.pdf
 
Applied math sba
Applied math sbaApplied math sba
Applied math sba
 
Math Statistic
Math StatisticMath Statistic
Math Statistic
 
Gender Participation and Performance of Pre-Service Teachers in Physics Educa...
Gender Participation and Performance of Pre-Service Teachers in Physics Educa...Gender Participation and Performance of Pre-Service Teachers in Physics Educa...
Gender Participation and Performance of Pre-Service Teachers in Physics Educa...
 
UTEP UNIV 1301 - Preparing 21st Century Engineers
UTEP UNIV 1301 - Preparing 21st Century EngineersUTEP UNIV 1301 - Preparing 21st Century Engineers
UTEP UNIV 1301 - Preparing 21st Century Engineers
 
Mth426 group13 final_report
Mth426 group13 final_reportMth426 group13 final_report
Mth426 group13 final_report
 
American education today
American education todayAmerican education today
American education today
 
Timss 3
Timss 3Timss 3
Timss 3
 
How to assemble your TWS planning document Fall 2013
How to assemble your TWS planning document Fall 2013How to assemble your TWS planning document Fall 2013
How to assemble your TWS planning document Fall 2013
 
Statistical Methods
Statistical Methods Statistical Methods
Statistical Methods
 
Eco501 course handbook s - copy
Eco501 course handbook s - copyEco501 course handbook s - copy
Eco501 course handbook s - copy
 
102 103
102 103102 103
102 103
 
Gender Stereotyping through Textbook Illustrations
Gender Stereotyping through Textbook IllustrationsGender Stereotyping through Textbook Illustrations
Gender Stereotyping through Textbook Illustrations
 
Bi
BiBi
Bi
 
The Impact of Educational Practice Project
The Impact of Educational Practice ProjectThe Impact of Educational Practice Project
The Impact of Educational Practice Project
 

Mehr von Kelvin Ng

Building Structure Project 2 Individual's
Building Structure Project 2 Individual'sBuilding Structure Project 2 Individual's
Building Structure Project 2 Individual'sKelvin Ng
 
Asian Architecture Final Case Study Report
Asian Architecture Final Case Study ReportAsian Architecture Final Case Study Report
Asian Architecture Final Case Study ReportKelvin Ng
 
The relationship of ventilation and thermal comfort
The relationship of ventilation and thermal comfortThe relationship of ventilation and thermal comfort
The relationship of ventilation and thermal comfortKelvin Ng
 
Asian Architecture: Case Study of Glass Shed, Sekeping Serendah
Asian Architecture: Case Study of Glass Shed, Sekeping SerendahAsian Architecture: Case Study of Glass Shed, Sekeping Serendah
Asian Architecture: Case Study of Glass Shed, Sekeping SerendahKelvin Ng
 
Building Structure Project 2 Group Report
Building Structure Project 2 Group ReportBuilding Structure Project 2 Group Report
Building Structure Project 2 Group ReportKelvin Ng
 
Asian Architecture Presentt
Asian Architecture PresenttAsian Architecture Presentt
Asian Architecture PresenttKelvin Ng
 
Building Structure Project 1 Report
Building Structure Project 1 ReportBuilding Structure Project 1 Report
Building Structure Project 1 ReportKelvin Ng
 
Bujang Valley Site Analysis
Bujang Valley Site AnalysisBujang Valley Site Analysis
Bujang Valley Site AnalysisKelvin Ng
 
Metropol Parasol Surface Structure Design Report
Metropol Parasol Surface Structure Design ReportMetropol Parasol Surface Structure Design Report
Metropol Parasol Surface Structure Design ReportKelvin Ng
 
Shelter for One
Shelter for OneShelter for One
Shelter for OneKelvin Ng
 
Sketchbook and Journal
Sketchbook and JournalSketchbook and Journal
Sketchbook and JournalKelvin Ng
 
Low Jia Cheng Design Communication
Low Jia Cheng Design CommunicationLow Jia Cheng Design Communication
Low Jia Cheng Design CommunicationKelvin Ng
 
Low Jia Cheng Relationship between both cube
Low Jia Cheng Relationship between both cubeLow Jia Cheng Relationship between both cube
Low Jia Cheng Relationship between both cubeKelvin Ng
 
Low Jia Cheng Wood Cube
Low Jia Cheng Wood CubeLow Jia Cheng Wood Cube
Low Jia Cheng Wood CubeKelvin Ng
 
Low Jia Cheng Paper Cube
Low Jia Cheng Paper CubeLow Jia Cheng Paper Cube
Low Jia Cheng Paper CubeKelvin Ng
 
Design Communication
Design CommunicationDesign Communication
Design CommunicationKelvin Ng
 
Building Material Individual
Building Material IndividualBuilding Material Individual
Building Material IndividualKelvin Ng
 
Building Material Project 1
Building Material Project 1Building Material Project 1
Building Material Project 1Kelvin Ng
 
Building Material Project 1 Board
Building Material Project 1 BoardBuilding Material Project 1 Board
Building Material Project 1 BoardKelvin Ng
 
Business Report
Business ReportBusiness Report
Business ReportKelvin Ng
 

Mehr von Kelvin Ng (20)

Building Structure Project 2 Individual's
Building Structure Project 2 Individual'sBuilding Structure Project 2 Individual's
Building Structure Project 2 Individual's
 
Asian Architecture Final Case Study Report
Asian Architecture Final Case Study ReportAsian Architecture Final Case Study Report
Asian Architecture Final Case Study Report
 
The relationship of ventilation and thermal comfort
The relationship of ventilation and thermal comfortThe relationship of ventilation and thermal comfort
The relationship of ventilation and thermal comfort
 
Asian Architecture: Case Study of Glass Shed, Sekeping Serendah
Asian Architecture: Case Study of Glass Shed, Sekeping SerendahAsian Architecture: Case Study of Glass Shed, Sekeping Serendah
Asian Architecture: Case Study of Glass Shed, Sekeping Serendah
 
Building Structure Project 2 Group Report
Building Structure Project 2 Group ReportBuilding Structure Project 2 Group Report
Building Structure Project 2 Group Report
 
Asian Architecture Presentt
Asian Architecture PresenttAsian Architecture Presentt
Asian Architecture Presentt
 
Building Structure Project 1 Report
Building Structure Project 1 ReportBuilding Structure Project 1 Report
Building Structure Project 1 Report
 
Bujang Valley Site Analysis
Bujang Valley Site AnalysisBujang Valley Site Analysis
Bujang Valley Site Analysis
 
Metropol Parasol Surface Structure Design Report
Metropol Parasol Surface Structure Design ReportMetropol Parasol Surface Structure Design Report
Metropol Parasol Surface Structure Design Report
 
Shelter for One
Shelter for OneShelter for One
Shelter for One
 
Sketchbook and Journal
Sketchbook and JournalSketchbook and Journal
Sketchbook and Journal
 
Low Jia Cheng Design Communication
Low Jia Cheng Design CommunicationLow Jia Cheng Design Communication
Low Jia Cheng Design Communication
 
Low Jia Cheng Relationship between both cube
Low Jia Cheng Relationship between both cubeLow Jia Cheng Relationship between both cube
Low Jia Cheng Relationship between both cube
 
Low Jia Cheng Wood Cube
Low Jia Cheng Wood CubeLow Jia Cheng Wood Cube
Low Jia Cheng Wood Cube
 
Low Jia Cheng Paper Cube
Low Jia Cheng Paper CubeLow Jia Cheng Paper Cube
Low Jia Cheng Paper Cube
 
Design Communication
Design CommunicationDesign Communication
Design Communication
 
Building Material Individual
Building Material IndividualBuilding Material Individual
Building Material Individual
 
Building Material Project 1
Building Material Project 1Building Material Project 1
Building Material Project 1
 
Building Material Project 1 Board
Building Material Project 1 BoardBuilding Material Project 1 Board
Building Material Project 1 Board
 
Business Report
Business ReportBusiness Report
Business Report
 

Kürzlich hochgeladen

“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...Marc Dusseiller Dusjagr
 
History Class XII Ch. 3 Kinship, Caste and Class (1).pptx
History Class XII Ch. 3 Kinship, Caste and Class (1).pptxHistory Class XII Ch. 3 Kinship, Caste and Class (1).pptx
History Class XII Ch. 3 Kinship, Caste and Class (1).pptxsocialsciencegdgrohi
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13Steve Thomason
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Krashi Coaching
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxGaneshChakor2
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxOH TEIK BIN
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application ) Sakshi Ghasle
 
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting DataJhengPantaleon
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxSayali Powar
 
Class 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdfClass 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdfakmcokerachita
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityGeoBlogs
 
Alper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentAlper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentInMediaRes1
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfsanyamsingh5019
 
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions  for the students and aspirants of Chemistry12th.pptxOrganic Name Reactions  for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions for the students and aspirants of Chemistry12th.pptxVS Mahajan Coaching Centre
 
Final demo Grade 9 for demo Plan dessert.pptx
Final demo Grade 9 for demo Plan dessert.pptxFinal demo Grade 9 for demo Plan dessert.pptx
Final demo Grade 9 for demo Plan dessert.pptxAvyJaneVismanos
 
Pharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdfPharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdfMahmoud M. Sallam
 
Presiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsPresiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsanshu789521
 

Kürzlich hochgeladen (20)

“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
 
History Class XII Ch. 3 Kinship, Caste and Class (1).pptx
History Class XII Ch. 3 Kinship, Caste and Class (1).pptxHistory Class XII Ch. 3 Kinship, Caste and Class (1).pptx
History Class XII Ch. 3 Kinship, Caste and Class (1).pptx
 
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri  Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Bikash Puri  Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
 
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdfTataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptx
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptx
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application )
 
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
 
Class 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdfClass 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdf
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activity
 
Alper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentAlper Gobel In Media Res Media Component
Alper Gobel In Media Res Media Component
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdf
 
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions  for the students and aspirants of Chemistry12th.pptxOrganic Name Reactions  for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
 
Final demo Grade 9 for demo Plan dessert.pptx
Final demo Grade 9 for demo Plan dessert.pptxFinal demo Grade 9 for demo Plan dessert.pptx
Final demo Grade 9 for demo Plan dessert.pptx
 
Pharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdfPharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdf
 
Presiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsPresiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha elections
 
Staff of Color (SOC) Retention Efforts DDSD
Staff of Color (SOC) Retention Efforts DDSDStaff of Color (SOC) Retention Efforts DDSD
Staff of Color (SOC) Retention Efforts DDSD
 

Mathematics Report

  • 1. Mathematics Project The Monthly Expenses by Male and Female Student of Taylor‟s University Lakeside Campus Lecture: Ms. Ann See Peng Group Members: Kelvin Ng (0315081) :Tan Wen Hao (0313690) :Low Jia Cheng (0314883) :LokeChingYan (0314657) :Voon Sze Lun (0315032)
  • 2. Table of Content Title Page Front Page 1 Table of Content 2 Introduction 3 Objectives 4 Methodology 5-9 Survey Forms 10-210 Analysis 211-239 Conclusion 240
  • 3. Introduction This is a mathematics project which is about the “Statistic” conducted by a group of 5 students Kelvin Ng, Tan Wen Hao, Low Jia Cheng, LokeChing Yan and Voon Sze Lun from Taylor‟s University Lakeside Campus and guided by their lecture Ms. Ann See Peng. This assignment intended to familiarize us with some of the basic concepts and skills related to statistic. Statistics is a set of tools used to organize and analyze data. Data must either be numeric in origin or transformed by researchers into numbers.Statistics is one of the mathematics which occurs in collection, organization and interpretation of numerical data especially the analysis of population characteristics by inference from sampling. For instance, statistics could be used to analyze percentage and it‟s also frequently used for purposes of prediction. The surveybrings the opportunity and remarks us about the importance of saving on daily unnecessary expenses. Through the survey, it shows that the average monthly spending of the students according to their necessary needs and the entertainment lifestyle as the student. In addition, we learn to find out the difference of male and female on their monthly expenses. This highlights the spending of the students and it lets the students to know that they should learn to spend smartly towards the necessarythings.
  • 4. Objective The aim of this project gives us to learn how to collect and organize statistical data. For example, we learn to solve problems when distributing the survey form to people. Besides, it enables us to apply the knowledge which gained to analyze statistical data and draw conclusion from the data. Moreover, we can also learn to solve the problems with various mathematical principles. In addition, we‟re able to present for some simple statistical data. By doing this assignment, we can also fully understand and apply fundamental mathematical principles in the way of statistics question. For example, we learn to use the various types of mathematical principles in our daily life and of course in the mathematics question. The objective for this project is also to make inferences about a sample based on information we get from a population and also to use population mean, as an estimate of the sample mean so that we can get a more accurate results at the end. In addition, it also makes inferences about a population based on information we get from a sample taken the population. Through this project, we can also make some inferences about a sample with a high degree of reliability in order to achieve to purpose. Lastly, we‟re also able to understand better about the concept of comparative analysis and gaining more knowledge in understanding the statistical analysis.
  • 6. Research was taken at Student Central.
  • 7. Research was taken at Commercial Block (1)
  • 8. Research was taken at Commercial Block (2)
  • 9. Research was taken at Commercial Block (3)
  • 10. 1. Study Expenses of Male and Female Frequency, f Frequency, f Study Materials(RM) 0 - 49 50 - 99 100 - 149 150 - 199 200 - 249 250 - 299 Male 3 7 13 21 28 23 Female 6 12 22 27 20 11 299 above 5 2 Number of Students (amount of spending on study materials) 30 25 20 Male 15 Female 10 5 0 0 - 49 50 - 99 100 - 149150 - 199200 - 249250 - 299299 above Figure 1.1 Figure 1.1 shows the number of students according to the expenses of study materials in Taylor‟s University. Analysis shown that there are 3 male students and 6 female students spend RM0-49 for the study materials. There are 7 male students and 12 female students spend RM-99 for the study materials. There are 13 male students and 22 female students spend RM100-149 on study materials. 21 male students and 27 female students spend RM150-199 on study materials. There are 28 male students and 20 female students spend
  • 11. RM200-249 for the study materials. For those who spend RM250-299, there are 23 male students and 11 female students. There are 5 male students and 2 female students spend RM299 above Study male: medium: 199.5 + [(100/2 – 44) / 28] x 50 = 210.21 mean: [24.5(3) + 74.5(7) + 124.5(13) + 174.5(21) + 224.5(28) 274.5(23) + 324.5(5)] / 100 = 137.86 mode: 199.5 + ([28-21] / [28-21]+[28-23]) x 50 = 178.67 variance: 45310.4896/100-1 = 457.68 standard deviation: ^457.68 = 21.39 Study Female: medium: 149.5 + [(100/2 – 40) / 27] x 50 = 168.02 mean: [24.5(6) + 74.5(12) + 124.5(22) + 174.5(27) + 224.5(20) 274.5(11) + 324.5(2)] / 100 = 166.5 mode: 149.5 + ([27-22] / [27-22]+[28-20]) x 50 = 168.73 variance: 14452 / 100 – 1 =146 standard deviation: ^146 = 12.08
  • 12. 2. Food Expenses of Male and Female OVERALL Frequency, f Frequency, f Food Expenses(RM) 0 - 149 150 - 299 300 - 449 450 - 599 601 - 749 750 - 899 Male 2 15 21 30 19 10 Female 1 19 26 28 17 7 900 above 3 2 Number of Students (amount of foodexpenses) 35 30 25 20 Male 15 female 10 5 0 0 - 149 150 - 299 300 - 449 450 - 599 601 - 749 750 - 899900 above Figure 1.2 Figure 1.2 shows the number of students according to the expenses on food in Taylor‟s University. Analysis shown that there are 2 male students and 1 female student spends RM0-149 on food. There are 15 male students and 19 female students spend RM150-299 spend on food. 21 male students and 26 female students spend RM300-449 on food. 30 male students and 28 female students spend RM450-599 on food. There are 19 male
  • 13. students and 17 female students spend RM601-749 on food. 10 male students and 7 female students spend RM 750-899 on food. For those who spend RM900 above on food, there are 3 male students and 2 female students. food male: medium: 449.5 + [(100/2 –38) / 30] x 150 = 509.5 mean: [74.5(3) + 224.5(7) + 374.5(13) + 524.5(21) + 674.5(28)+824.5(23)+974.5(5)] /100 =600.49 mode: 449.5 + ([30-21] / [30-21]+[30-19]) x 150 = 517 variance: 670421.36 / 100 – 1 =6771.93 standard deviation: ^6771.93 = 82.29 foodfemale: medium: 449.5 + [(100/2 –46) / 28] x 150 = 470.93 mean: [74.5(1) + 224.5(19) + 374.5(26) + 524.5(28) + 674.5(17) 824.5(7) + 974.5(2)] / 100= 479.5 mode: 449.5 + ([28-26] / [28-26]+[28-17]) x 150 = 466.17 variance: 629775 / 100 – 1 =6361.36 standard deviation: ^6361.36 = 79.76
  • 14. 3. Clothes Expenses of Male and Female OVERALL Frequency, f Frequency, f Clothes Expenses(RM) Male Female 0 - 49 50 - 99 100 - 149 150 - 199 200 - 249 250 - 299 11 16 32 19 13 6 4 7 11 20 28 21 299 above 3 9 Number of Students (amount of clothes expenses) 35 30 25 20 Male 15 Female 10 5 0 0 - 49 50 - 99 100 149 150 199 200 249 250 299 299 above Figure 1.3 Figure 1.3 shows the number of students according to the expenses on their clothes in Taylor‟s University. Analysis shown that there are 11 male students and 4 female students spend RM0-49 on clothes. 16 male students and 7 female students spend RM5099 on clothes. There are 32 male students and 11 female students spend RM100-149 on clothes. For those who spend RM150-199 on clothes, there are 19 male students and 20 female students. There are 13 male students and 28 female students spend RM200-249 on
  • 15. clothes. 6 male students and 21 female students spend RM250-299 on clothes. 3 male students and 9 female students spend RM299 above on clothes cloth male: medium: 99.5 + [(100/2 –27) / 32] x 50 = 135.44 mean: [24.5(11) + 74.5(16) + 124.5(32) + 174.5(19) + 224.5(13) 274.5(6) + 324.5(3)] / 100=143 mode: 99.5 + ([32-16] / [32-16]+[32-19]) x 50= 127.09 variance: 97376.5 / 100 – 1 =983.6 standard deviation: ^983.6 = 31.36 Cloth female: medium: 199.5 + [(100/2 –42) / 28] x 50=213.79 mean: [24.5(4) + 74.5(7) + 124.5(11) + 174.5(20) + 224.5(28) 274.5(21) + 324.5(9)] / 100=204.5 mode: 199.5 + ([28-20] / [28-20]+[28-21]) x 50 = 226.17 variance: 76300 / 100 – 1 =770.71 standard deviation: ^770.71 = 27.76
  • 16. 4. Travelling Expenses of Male and Female OVERALL Frequency, f Frequency, f Travelling Expenses(RM) Male Female 0 - 49 50 - 99 100 - 149 150 - 199 200 - 249 250 - 299 7 13 15 19 22 16 10 14 16 18 20 15 299 above 8 7 Number of Students (amount of travellingexpenses) 25 20 15 Male 10 Female 5 0 0 - 49 50 - 99 100 149 150 199 200 249 250 299 299 above Figure 1.4 Figure 1.4 shows the number of students according to the expenses on their travelling in Taylor‟s University. Analysis shown that there are 7 male students and 10 female students spend RM0-49 on travelling. 13 male students and 14 female students spend RM50-99 on travelling. There are 15 male students and 16 female students spend RM100-149 on travelling. For those who spend RM150-199 on travelling, there are 19 male students and 18 female students. There are 22 male students and 20 female students
  • 17. spend RM200-249 on travelling. 16 male students and 15 female students spend RM250299 on travelling. 8 male students and 7 female students spend RM299 above on travelling. Traveling male: medium: 149.5 + [(100/2 –35) / 19] x 50 = 188.97 mean: [24.5(7) + 74.5(13) + 124.5(15) + 174.5(19) + 224.5(22) 274.5(16) + 324.5(8)] / 100 = 182.5 mode: 199.5 + ([22-19] / [22-19]+[22-16]) x 50 = 216.17 variance: 68708 / 100 – 1 =694.02 standard deviation: ^694.02 = 26.34 Traveling female: medium: 149.5 + [(100/2 –40) / 18] x 50 = 177.28 mean: [24.5(10) + 74.5(14)+124.5(16)+174.5(18) + 224.5(20) 274.5(5) + 324.5(7)] / 100 = 145.55 mode: 199.5 + ([20-18] / [20-18]+[20-15]) x 50 = 213.78 variance: 75866.7175 / 100 – 1 =766.33 standard deviation: ^766.33 = 27.68
  • 18. 5. Entertainment Expenses of Male and Female Frequency, f Frequency, f Entertainment Expenses(RM) Male Female 0 - 49 50 - 99 100 - 149 150 - 199 200 - 249 250 - 299 3 4 9 14 23 26 3 6 10 18 22 24 299 above 21 17 OVERALL Number of Students (amount of entertainment expenses) 30 25 20 15 Male Female 10 5 0 0 - 49 50 - 99 100 149 150 199 200 249 250 299 299 above Figure 1.5 Figure 1.5 shows the number of students according to the expenses on entertainment in Taylor‟s University. Analysis shown that there are 3 male students and 3 female students spend RM0-149 on entertainment. There are 4 male students and 6 female students spend RM150-299 spend on entertainment. 9 male students and 10 female students spend
  • 19. RM300-449 on food. 14 male students and 18 female students spend RM450-599 on entertainment. There are 23 male students and 22 female students spend RM601-749 on entertainment. 26 male students and 24 female students spend RM 750-899 on entertainment. For those who spend RM900 above on entertainment, there are 21 male students and 17 female students. Entertainment male: medium: 149.5 + [(100/2 –30) / 14] x 50 = 220.92 mean: [24.5(3) + 74.5(4) + 124.5(9) + 174.5(14) + 224.5(23) 274.5(26) + 324.5(21)] / 100 = 230.5 mode: 249.5 + ([26-23] / [26-23]+[26-21]) x 50 – 268.25 variance: 91952 / 100 – 1 =928.81 standard deviation: ^928.81 = 30.48 Entertainmentfemale: medium: 199.5 + [(100/2 –37) / 18] x 50 = 235.6 mean: [24.5(3)+74.5(6)+124.5(10)+174.5(18)+224.5(22) 274.5(24)+324.5(17)]/100=219.5 mode: 249.5 + ([24-22] / [24-22]+[24-17]) x 50=260.61 variance: 84175/ 100 – 1 =850.25 standard deviation: ^850.25 = 29.16
  • 20. 6.Accommodation Expenses of Male and Female Frequency, f Frequency, f Accommodation Expenses(RM) 0 - 149 150 - 299 300 - 449 450 - 599 601 - 749 750 - 899 Male 4 7 14 26 22 16 Female 2 6 13 27 23 17 900 above 11 12 Number of Students (amount of accommodation expenses) 30 25 20 15 Male Female 10 5 0 0 - 149 150 299 300 449 450 599 601 749 750 899 900 above Figure 1.6 Figure 1.6 shows the number of students according to the expenses on their accommodation in Taylor‟s University. Analysis shown that there are 4 male students and 2 female students spends RM0-149 on accommodation. There are 7 male students and 6 female students spend RM150-299 spend on accommodation. 14 male students and 13 female students spend RM300-449 on accommodation. 26 male students and 27
  • 21. female students spend RM450-599 on accommodation. There are 22 male students and 23 female students spend RM601-749 on accommodation. 16 male students and 17 female students spend RM 750-899 on accommodation. For those who spend RM900 above on accommodation, there are 11 male students and 12 female students. Accommodation male: medium: 299.5 + [(100/2 –25) / 14] x 150 = 567.36 mean: [74.5(4) + 224.5(7) + 374.5(14) + 524.5(26) + 674.5(22) 824.5(16) + 974.5(11)]/100=445.1 mode: 449.5 + ([26-14] / [26-14]+[26-22]) x 150 = 511.59 variance: 674130.52/ 100 – 1 =6809.4 standard deviation: ^6809.4 = 82.52 Accommodationfemale: medium: 599.5 + [(100/2 –48) / 23] x 150 = 612.5 mean: [74.5(2) + 224.5(6) + 374.5(13) + 524.5(27) + 674.5(23) 824.5(17) + 974.5(12)] /100=617.5 mode: 449.5 + ([27-13] / [27-13]+[27-23]) x 150 = 458.43 variance: 746343/ 100 – 1 =7538.82 standard deviation: ^7538.82 = 86.83
  • 22. 7. Junk Food Expenses of Male and Female OVERALL Frequency, f Frequency, f Junk Food Expenses(RM) Male Female 0 - 49 50 - 99 100 - 149 150 - 199 200 - 249 250 - 299 8 12 17 22 19 13 13 16 19 20 15 10 299 above 9 7 Number of Students (amount of junk food expenses) 25 20 15 Male 10 Female 5 0 0 - 49 50 - 99 100 149 150 199 200 249 250 299 299 above Figure 1.7 Figure 1.7 shows the number of students according to the expenses on junk food in Taylor‟s University. Analysis shown that there are 8 male students and 13 female students spend RM0-49 on junk food. 12 male students and 16 female students spend RM50-99 on junk food. There are 17 male students and 19 female students spend RM100-149 on junk food. For those who spend RM150-199 on junk food, there are 22 male students and 20 female students. There are 19 male students and 15 female students
  • 23. spend RM200-249 on junk food. 13 male students and 10 female students spend RM250299 on junk food. 9 male students and 7 female students spend RM299 above on junk food. Junk food male: medium: 149.5 + [(100/2 –37) / 22] x 50 = 179.05 mean: [24.5(8) + 74.5(12) + 124.5(17) + 174.5(22) + 224.5(19) 274.5(13) + 324.5(9)] / 100= 178 mode: 149.5 + ([22-17] / [22-17]+[22-19]) x 50 = 180.75 variance: 187993 / 100 – 1 =1898.93 standard deviation: ^1898.93 = 43.58 Junk foodfemale: medium: 149.5 + [(100/2 –48) / 20] x 50 =154.5 mean: [24.5(13) + 74.5(16) + 124.5(19) + 174.5(20) + 224.5(15) 274.5(10) + 324.5(7)] /100=157.5 mode: 149.5 + ([20-19] / [20-19]+[20-15]) x 50 = 157.83 variance: 44169 / 100 – 1 =446.15 standard deviation: ^1898.93 = 21.12
  • 24. 8. Petrol Expenses of Male and Female OVERALL Frequency, f Frequency, f Petrol Expenses(RM) Male Female 0 - 49 50 - 99 100 - 149 150 - 199 200 - 249 250 - 299 13 15 19 25 13 10 16 19 23 22 10 7 299 above 5 3 Number of Students (amount of petrol expenses) 30 25 20 15 Male Female 10 5 0 0 - 49 50 - 99 100 - 149150 - 199200 - 249250 - 299 299 above Figure 1.8 Figure 1.8 shows the number of students according to the expenses on petrol in Taylor‟s University. Analysis shown that there are 13 male students and 16 female students spend RM0-49 on petrol. 15 male students and 19 female students spend RM50-99 on petrol. There are 19 male students and 23 female students spend RM100-149 on petrol. For those who spend RM150-199 on petrol, there are 25 male students and 22 female students. There are 13 male students and 10 female students spend RM200-249 on petrol.
  • 25. 10 male students and 7 female students spend RM250-299 on petrol. 5 male students and 3 female students spend RM299 above on petrol. Petrol male: medium: 149.5 + [(100/2 –47) / 25] x 50 = 155.5 mean: [24.5(13) + 74.5(15) + 124.5(19) + 174.5(25) + 224.5(13) 274.5(10) + 324.5(5)] /100=128.5 mode: 149.5 + ([25-19] / [25-19]+[25-13]) x 50= 166.17 variance: 79372 / 100 – 1 =801.74 standard deviation: ^801.74 = 28.32 Petrolfemale: medium: 99.5 + [(100/2 –35) / 23] x 50 = 132.11 mean: [24.5(16) + 74.5(19) + 124.5(23) + 174.5(22) + 224.5(10) 274.5(7) + 324.5(3)] / 100=116.5 mode: 99.5 + ([23-19] / [23-19]+[23-22]) x 50 = 139.5 variance: 93548 / 100 – 1 =944.93 standard deviation: ^944.93 = 30.74
  • 26. 9. IT Expenses of Male and Female OVERALL Frequency, f Frequency, f IT Expenses(RM) Male Female 0 - 49 50 - 99 100 - 149 150 - 199 200 - 249 250 - 299 6 9 11 14 17 24 7 11 12 13 16 23 299 above 19 18 Number of Students (amount of IT expenses) 30 25 20 15 Male Female 10 5 0 0 - 49 50 - 99 100 149 150 199 200 249 250 299 299 above Figure 1.9 Figure 1.9 shows the number of students according to the expenses on IT in Taylor‟s University. Analysis shown that there are 6 male students and 7 female students spend RM0-49 on IT. 9 male students and 11 female students spend RM50-99 on IT. There are 11 male students and 12 female students spend RM100-149 on IT. For those who spend RM150-199 on IT, there are 14 male students and 13 female students. There are 17 male students and 16 female students spend RM200-249 on IT. 24 male students and 23
  • 27. female students spend RM250-299 on IT. 19 male students and 18 female students spend RM299 above on IT. IT male: medium: 199.5 + [(100/2 –40) / 17] x 50 = 228.91 mean: [24.5(6) + 74.5(9) + 124.5(11) + 174.5(14) + 224.5(17) 274.5(24) + 324.5(19)] / 100=212 mode: 249.5 + ([24-17] / [24-17]+[24-19]) x 50 = 278.67 variance: 79843 / 100 – 1 =806.5 standard deviation: ^806.5 = 28.4 IT female: medium: 199.5 + [(100/2 –43) / 16] x 50 = 221.38 mean: [24.5(7) + 74.5(11) + 124.5(12) + 174.5(13) + 224.5(16) 274.5(23) + 324.5(18)] / 100=205 mode: 249.5 + ([23-16] / [23-16]+[23-18]) x 50 = 278.66 variance: 62611 / 100 – 1 =632.44 standard deviation: ^632.44 = 25.15
  • 28. 10. Telecommunication Expenses of Male and Female Frequency, f Frequency, f IT Expenses(RM) Male Female 0 - 49 50 - 99 100 - 149 150 - 199 200 - 249 250 - 299 5 12 16 24 20 15 7 16 18 22 17 12 299 above 8 8 Number of Students (amount of telecommunication expenses) 30 25 20 15 Male Female 10 5 0 0 - 49 50 - 99 100 149 150 199 200 249 250 299 299 above Figure 1.10 Figure 1.9 shows the number of students according to the expenses on telecommunication in Taylor‟s University. Analysis shown that there are 5 male students and 7 female students spend RM0-49 on telecommunication. 12 male students and 16 female students spend RM50-99 on telecommunication. There are 16 male students and 18 female
  • 29. students spend RM100-149 on telecommunication. For those who spend RM150-199 on telecommunication, there are 24 male students and 17 female students. There are 20 male students and 17 female students spend RM200-249 on telecommunication. 15 male students and 12 female students spend RM250-299 on telecommunication. 8 male students and 8 female students spend RM299 above on telecommunication. Telecommunication male: medium: 149.5 + [(100/2 –33) / 24] x 50 = 184.92 mean: [24.5(5) + 74.5(12) + 124.5(16) + 174.5(24) + 224.5(20) 274.5(15) + 324.5(8)] / 100=184 mode: 149.5 + ([24-16] / [24-16]+[24-20]) x 50=182.83 variance: 70631/ 100 – 1 =713.45 standard deviation: ^6713.45 = 26.71 Telecommunicationfemale: medium: 149.5 + [(100/2 –41) / 22] x 50 = 169.95 mean: [24.5(7) + 74.5(16) + 124.5(18) + 174.5(22) + 224.5(17) 274.5(12) + 324.5(8)] / 100=171.5 mode: 149.5 + ([22-18] / [22-18]+[22-17]) x 50=171.72 variance: 70063/ 100 – 1 =707.71 standard deviation: ^707.71 = 26.6
  • 30. 11. The Students who stay at Hostel Figure 11.1 and figure 11.2 show the percentage of the students who stay at the hostel. The percentage of the students who stay at hostel male yes 27% no 73% Figure 11.1 female 1 26% 2 74% Figure 11.2 According to the survey we have done with the male students, there are 27% reply „Yes‟ and 73% reply „No‟. In figure 11.2, there are 26% female students reply „Yes‟ and 74% reply „No‟.
  • 31. 12. Junk Food Consumption Figure 12.1 and figure 12.2 show the percentage of the students who take junk food. The percentage of the students who take junk food. more than 9 hours 9% male less 3 hours 19% 6-9 hours 31% 3-6 hours 41% Figure 12.1 4 10% female 1 18% 3 40% 2 32% Figure 12.2 According to the survey we have done with the male students, there are 19% male student take junk food less than 3 hours, 41% take junk food in between 3 to 6 hours, 31% take junk food in between 6 to 9 hours and 9% take more than 9 hours. In figure 12.2, there are 18% female students take junk food less than 3 hours, 32% takes 3 to 6 hours, 40% takes 6 to 9 hours and 10% takes more than 9 hours.
  • 32. 13. The Students who drive car Figure 13.1 and figure 13.2 show the percentage of the students who drive car to school. The percentage of the students who drive car to school. male no 47% yes 53% Figure 13.1 female 2 58% 1 42% Figure 13.2 According to the survey we have done with the male students, there are 53% reply „Yes‟ and 47% reply „No‟. In figure 13.2, there are 42% female students reply „Yes‟ and 58% reply „No‟.
  • 33. 14. The Students use IT Figure 14.1 and figure 14.2 show the percentage of the students who use IT. The percentage of the students who use IT. male no 40% yes 60% Figure 14.1 female 2 45% 1 55% Figure 14.2 According to the survey we have done with the male students, there are 60% reply‟ Yes‟ and 40% reply „No‟. In figure 14.2, there are 55% female student reply „Yes‟ and 45% reply „No‟.
  • 34. 15. Students who use Internet Figure 15.1 and figure 15.2 show the percentage of the students who use Internet. The percentage of the students who use Internet. more than 6 hours 28% male less than 1 hour 14% 1-3 hours 17% 3-6 hours 41% Figure 15.1 female 4 20% 3 40% 1 18% 2 22% Figure 15.2 According to the survey we have done with the male students, there are 14% use Internet less than 1 hour, 17% use internet in 1 to 3 hours, 41% use internet in 3 to 6 hours and 28% use internet more than 6 hours. In figure 15.2, there are 18% female student uses internet less than 1 hour, 22% use the internet in 1 to 3 hours, 40% use internet in 3 to 6 hours and 20% use more than 6 hours.
  • 35. 16. Students who use Phone Figure 16.1 and figure 16.2 show the percentage of the students who use Phone. The percentage of the students who use Phone. more than 45 minutes 31% less than 15 minutes 7% male 15 - 30 minutes 20% 30 - 45 minutes 42% Figure 16.1 female 4 26% 1 11% 2 25% 3 38% Figure 16.2 According to the survey we have done with the male students, there are 7% use phone less than 15 minutes, 20% use phone in 15 to 30 minutes, 42% use phone in 30 to 45 minutes and 31% use phone more than 45 minutes. In figure 16.2, there are 11% female student use phone less than 15 minutes, 25% use phone in 15 to 30 minutes, 38% use phone in 30 to 45 minutes and 26% use phone more than 45 minutes.
  • 36. 17. Students who use Phone Figure 17.1 and figure 17.2 show the percentage of the students who use the type of phone brand. The percentage of the students who the phone brand. male other 20% Apple 37% nokia 10% samsung 33% Figure 17.1 female 4 25% 3 5% 1 40% 2 30% Figure 17.2 According to the survey we have done with the male students, there are 37% prefer Apple, 33% prefer Samsung, 10% prefer Nokia and 20% prefer the others. In figure 17.2, 40% female student prefers Apple, 30% prefer Samsung, 5% prefer Nokia and 25% prefer the others.
  • 37. 18. Students who use Phone Figure 18.1 and figure 18.2 show the percentage of the students who are smart spending. The percentage of the students who are smart spending. male no 42% yes 58% Figure 18.1 female 2 56% 1 44% Figure 18.2 According to the survey we have done with the male students, there are 58% reply „Yes‟ and 42% reply‟ No‟. In figure 18.2, there are 44% female students reply „Yes‟ and 56% reply „No‟.
  • 38. Conclusion The survey gives us the opportunity to analyze and solve problems that involve various mathematical principles. Through the surveys, we learn to collect, organize, present and draw conclusion for simple statistical data. It also gives us a better understanding to apply the correct fundamental mathematical principles.