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.
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".
Check if the variances are the same:
1234567import pandas as pd home_workers = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a849660e-ddfa-4033-80a6-94a1b7772e23/Testing2.0/work_from_home.csv').squeeze() office_workers = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a849660e-ddfa-4033-80a6-94a1b7772e23/Testing2.0/work_from_office.csv').squeeze() # Printing sample standard deviations print('Home workers std:', home_workers.std()) print('Office workers std:', office_workers.std())
The second standard deviation is twice as much as the first, so variances differ.
Recall the function ttest_ind to perform a t-test.
st.ttest_ind(a, b, equal_var=True, alternative='two-sided')
Swipe to start coding
You are comparing the productivity of employees working from home and from the office. Your goal is to determine whether office workers have a greater mean productivity than home workers using a t-test for independent samples.
- Import the
scipy.statslibrary with the aliasst. - Use the
st.ttest_ind()function to conduct the t-test with the following setup:- Samples:
office_workers,home_workers. - Alternative hypothesis: office > home.
- Variances are not equal (
equal_var=False).
- Samples:
- Store the results in the variables
tstatandpvalue. - Based on the
pvalue, print one of the following messages:"We support the null hypothesis, the mean values are equal"ifpvalue > 0.05."We reject the null hypothesis, the mean values are different"otherwise.
Solution
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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.
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".
Check if the variances are the same:
1234567import pandas as pd home_workers = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a849660e-ddfa-4033-80a6-94a1b7772e23/Testing2.0/work_from_home.csv').squeeze() office_workers = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a849660e-ddfa-4033-80a6-94a1b7772e23/Testing2.0/work_from_office.csv').squeeze() # Printing sample standard deviations print('Home workers std:', home_workers.std()) print('Office workers std:', office_workers.std())
The second standard deviation is twice as much as the first, so variances differ.
Recall the function ttest_ind to perform a t-test.
st.ttest_ind(a, b, equal_var=True, alternative='two-sided')
Swipe to start coding
You are comparing the productivity of employees working from home and from the office. Your goal is to determine whether office workers have a greater mean productivity than home workers using a t-test for independent samples.
- Import the
scipy.statslibrary with the aliasst. - Use the
st.ttest_ind()function to conduct the t-test with the following setup:- Samples:
office_workers,home_workers. - Alternative hypothesis: office > home.
- Variances are not equal (
equal_var=False).
- Samples:
- Store the results in the variables
tstatandpvalue. - Based on the
pvalue, print one of the following messages:"We support the null hypothesis, the mean values are equal"ifpvalue > 0.05."We reject the null hypothesis, the mean values are different"otherwise.
Solution
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