175035 spss lab-01

1. Lab Report
Course Code:-TE-3600
Course Title:-Application of Computer in Textile-II (Sessional)
Experiment No.:-01
Name:- Study on SPSS (Statistical Package of Social Science).
Submitted by
Name :
ID :
Year and Semester :
Session :
Department :
Mahbubay Rabbani
175035
3/1
2018-19
Textile Engineering
Submitted to
Ripon Kumar Prasad
Assistant Professor
Department of TE
Dhaka University of Engineering & Technology (DUET), Gazipur

2. Introduction:-
SPSS is short for Statistical Packages of Social Sciences. It is used by a variety of
researchers to analyze complex statistical data and much more for analysis. When
Alchemist has powerful built-in reporting features, researchers consider SPSS to be
the best-in-class solution when it comes to seamless statistical analysis.
Objectives:-
 Learn about SPSS software and some of its functions.
 To know how to analyze different types of data.
 To know about how to calculate and analyze statistical data

3. Variable view:-
Data view:-01

4. Data view:-02
Data view:-03

5. Frequency Table:-
Age range For General Customer
Frequency Percent Valid Percent Cumulative Percent
Valid
Below 18 years 5 41.7 41.7 41.7
18-24 years 3 25.0 25.0 66.7
24-30 years 2 16.7 16.7 83.3
Above 30 years 2 16.7 16.7 100.0
Total 12 100.0 100.0
Occupation For General Customer
Frequency Percent Valid Percent Cumulative Percent
Valid
Student 5 41.7 41.7 41.7
Job holder 2 16.7 16.7 58.3
student+ Job holder 2 16.7 16.7 75.0
Business 3 25.0 25.0 100.0
Total 12 100.0 100.0

6. Do you use denim garments?
Frequency Percent Valid Percent Cumulative Percent
Valid Yes 12 100.0 100.0 100.0
priority level when buying denim pant
Frequency Percent Valid Percent Cumulative Percent
Valid
1st 4 33.3 33.3 33.3
2nd 3 25.0 25.0 58.3
3rd 3 25.0 25.0 83.3
As per wish 2 16.7 16.7 100.0
Total 12 100.0 100.0

7. reason of buying denim pant
Frequency Percent Valid Percent Cumulative Percent
Valid
Fashionable look 3 25.0 25.0 25.0
Higher strength 4 33.3 33.3 58.3
Lower price 1 8.3 8.3 66.7
No need to wash frequently 1 8.3 8.3 75.0
No need to iron frequently 2 16.7 16.7 91.7
Can be used for all purposes
(casual, formal)
1 8.3 8.3 100.0
Total 12 100.0 100.0
amounts spent per year for buying denim pant
Frequency Percent Valid Percent Cumulative Percent
Valid
Less than 1000 4 33.3 33.3 33.3
1000-2000 3 25.0 25.0 58.3
2000-3000 2 16.7 16.7 75.0
3000-5000 2 16.7 16.7 91.7
Above 5000 1 8.3 8.3 100.0
Total 12 100.0 100.0
denim pants usually buy per year
Frequency Percent Valid Percent Cumulative Percent
Valid
Less than 3 4 33.3 33.3 33.3
3-5 2 16.7 16.7 50.0
5-8 4 33.3 33.3 83.3
Above 8 2 16.7 16.7 100.0
Total 12 100.0 100.0

8. price you demand in that case per denim pant
Frequency Percent Valid Percent Cumulative Percent
Valid
Free of cost 4 33.3 33.3 33.3
10-20 taka 4 33.3 33.3 66.7
20-30 taka 1 8.3 8.3 75.0
30-50 taka 3 25.0 25.0 100.0
Total 12 100.0 100.0
other denim products you can use
Frequency Percent Valid Percent Cumulative Percent
Valid
Nothing else 5 41.7 41.7 41.7
Shirt 2 16.7 16.7 58.3
Blazer 2 16.7 16.7 75.0
Others 3 25.0 25.0 100.0
Total 12 100.0 100.0
Gender For General Customer
Frequency Percent Valid Percent Cumulative Percent
Valid
Male 7 58.3 58.3 58.3
Female 5 41.7 41.7 100.0
Total 12 100.0 100.0

9. Pie chart:-

14. Descriptive Statistics
Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
Gender For General Customer 12 1 2 1.42 .515
Age range For General Customer 12 1 4 2.08 1.165
Occupation For General Customer 12 1 4 2.25 1.288
Do you use denim garments? 12 1 1 1.00 .000
priority level when buying denim
pant
12 1 4 2.25 1.138
reason of buying denim pant 12 1 6 2.83 1.749
denim pants usually buy per year 12 1 4 2.33 1.155
amounts spent per year for buying
denim pant
12 1 5 2.42 1.379
the length of using time per denim
pant
12 1 5 2.58 1.443
terminate the use of a denim pant 12 1 4 2.33 1.073
after using this denim pant 12 1 6 2.83 1.642
interested to sell this pant after
your end use
12 1 3 1.50 .905
price you demand in that case per
denim pant
12 1 4 2.25 1.215
other denim products you can use 12 1 4 2.25 1.288
Valid N (listwise) 12

15. Histogram:-

20. Conclusion:-After completing this experiment we know, how data
analysis can be done and make graph chart according to those data. I
think this experiment will help us in our future life.