Significance testing
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hypothesis_data.docx|
Person |
Starting salary EUR |
GPA |
B. School Accreditation |
Gender |
|
1 |
31,000 |
2.9 |
2 |
0 |
|
2 |
32,000 |
3.6 |
3 |
1 |
|
3 |
33,000 |
3.7 |
3 |
0 |
|
4 |
28,000 |
2.5 |
1 |
0 |
|
5 |
37,000 |
3.5 |
1 |
1 |
|
6 |
32,000 |
3.1 |
2 |
1 |
|
7 |
33,000 |
3.0 |
2 |
0 |
|
8 |
25,000 |
2.5 |
1 |
1 |
|
9 |
38,000 |
3.0 |
3 |
0 |
|
10 |
33,000 |
2.7 |
3 |
1 |
|
11 |
30,000 |
3.0 |
1 |
0 |
|
12 |
32,000 |
2.6 |
2 |
0 |
|
13 |
32,000 |
3.1 |
1 |
1 |
Data for Thirteen Business School Graduates
Note: For the categorical variable Business School Accreditation level, the value labels are 3 = full accredited B. School, 2 = double accredited B. School, 1 = Single accreditation. For the categorical variable gender, value labels are 0 = male, 1 = female.
Many times we have heard about the effects of University grades, Graduate’s gender, and the Business School accreditation level on employment chances/starting salaries.
We want to be able to test these variables and see the relationship between them.
The table above shows the data of recent graduates from Business Schools around Europe.
