Conduct a t-test
A company wants to determine if there is a significant difference in the productivity levels of developers who work from home versus those who work in the office. Good thing you already know a t-test can help with it.
The company has two independent developer teams: one works remotely, and the other works from the office. You've been provided with two files, 'work_from_home.csv' and 'work_from_office.csv', which contain the monthly task completion counts for each developer.
Your task is to conduct a t-test. The company wants to know whether developers who work from the office are more productive than home workers. If so, they will also force the second team to work from the office. In case of home workers being more productive, the company will not make any changes. So the desired alternative hypothesis is "The mean productivity of office workers is greater than that of home workers."
Let's check if the variances are the same:
The second standard deviation is twice as much as the first, so variances differ.
Recall the function ttest_ind to perform a t-test.
Tarea
- Import
scipy.statsusing thestalias. - Conduct a t-test with the following setup:
- Samples:
home_workers,office_workers; - Alternative hypothesis: office > home;
- No homogeneity of variances.
- Samples:
¿Todo estuvo claro?
Contenido del Curso
Learning Statistics with Python
2. Mean, Median and Mode with Python
4. Covariance vs Correlation
Learning Statistics with Python
Conduct a t-test
A company wants to determine if there is a significant difference in the productivity levels of developers who work from home versus those who work in the office. Good thing you already know a t-test can help with it.
The company has two independent developer teams: one works remotely, and the other works from the office. You've been provided with two files, 'work_from_home.csv' and 'work_from_office.csv', which contain the monthly task completion counts for each developer.
Your task is to conduct a t-test. The company wants to know whether developers who work from the office are more productive than home workers. If so, they will also force the second team to work from the office. In case of home workers being more productive, the company will not make any changes. So the desired alternative hypothesis is "The mean productivity of office workers is greater than that of home workers."
Let's check if the variances are the same:
The second standard deviation is twice as much as the first, so variances differ.
Recall the function ttest_ind to perform a t-test.
Tarea
- Import
scipy.statsusing thestalias. - Conduct a t-test with the following setup:
- Samples:
home_workers,office_workers; - Alternative hypothesis: office > home;
- No homogeneity of variances.
- Samples:
¿Todo estuvo claro?
