| Tag | Value |
|---|---|
| file | Inferential_Statistics_eur-inferential_statistics-221-en_eur-inferential_statistics-221-en |
| name | eur-inferential_statistics-221-en |
| section | Inferential Statistics/Parametric Techniques/t-test/Independent samples means |
| type | num |
| solution | 0.109 |
| tolerance | 0 |
| Type | Performing analysis, Data manipulation |
| Program | SPSS |
| Language | English |
| Level | Statistical Literacy |
Men and women often comment on each other’s driving in the car. We look at the gender of who is behind the wheel [Driver, where male = 0, female = 1], what make of car someone drives [Car, where Ford = 1, Audi = 2, Toyota = 3, and Volkswagen = 4], the miles driven [Driven_kilometers] and the miles as a co-driver [Co-driver_kilometers]. We also look at who received a collision and who did not [Collision, where no collision = 0, did collision = 1].
Create a new variable where Audi and Volkswagen are one group and Ford and Toyota are the other group. See if the average mileage as a Co-driver for “Audi+Volkswagen” is significantly different from the average for “Ford+Toyota.” Write the p-value found in the answer box (using 3 decimal places).
The correct answer is 0.109