ILMA UNIVERSITY
Session : Spring 2020
Coarse Name : Quantitative Analysis for
Business
Coarse Code : MAT304
Student Name : Ammad Jawed
Student ID : BME-2170
Instructor Name : Dr. Mansoor Ahmed
Question # 1:
The following data was from a class of students. Create an SPSS data file and use the features in SPSS Data Editor to
create the data with proper naming for each variable and proper labeling for each category of the categorical
variables. Use 1, 2 for coding binary data and 1, 2, 3, … for coding categorical data that has more than two categories,
then label them with proper labels. For instance, the Gender variable will use a value of 1 for male and 2 for female.
Data Sheet
ID
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
Gender
2
2
2
2
2
1
1
1
1
2
2
2
2
1
1
1
1
2
2
2
1
2
2
2
2
2
2
1
1
1
2
Study Hours
4
1
3
2
2
5
3
4
5
3
2
2
4
3
4
4
5
4
4
3
1
4
2
3
5
3
1
3
1
2
2
GPA1
3.51
4.00
3.94
4.00
3.00
4.00
3.50
3.48
3.50
2.80
3.50
3.70
3.50
2.74
3.91
4.00
3.74
4.00
4.00
3.77
3.28
4.00
3.91
3.71
3.75
3.80
2.75
3.25
3.20
3.11
4.00
GPA2
3.00
4.00
3.50
3.48
3.50
2.80
3.50
3.70
3.50
2.74
3.91
3.00
4.00
3.50
4.00
3.91
3.71
3.75
3.80
2.75
4.00
3.91
3.71
3.50
2.80
3.50
3.70
3.50
2.74
3.91
4.00
Note: Gender and study hours are independent variable and GPA is dependent variable
Gender Variable Coding
1-Male
2-Female
Study hours coding
1 - 1 to 5 hrs
2 - 5 to less than 10 hrs
3 - 10 to less than 20 hrs
4 - 20 to less than 40 hrs
5 - More than 40
Requirement:
1- Create data file in SPSS
2- Check the descriptive statistics with the help of SPSS (Mean, Standard Deviation)
3- Find Independent Sample T-Test
4- Find One-way Anova
5- Find Correlation (Explain results of correlation whether significant or non-significant)
6- Find Regression (interpret the results of regression analysis output)
Answer :
1- Create data file in SPSS
2- Check the descriptive statistics with the help of SPSS (Mean, Standard Deviation)
3- Find Independent Sample T-Test
4- Find One-way Anova
5- Find Correlation (Explain results of correlation whether significant or non-significant)
6- Find Regression (interpret the results of regression analysis output)