Challenge: Second T-test
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Your task is to do a t-test. Recall that the distribution in the 'Click' column has a normal distribution in both datasets. Also, there is a statistically significant difference between the variances. Now it is time to find out whether there is statistical evidence that the means of the two samples are equal.
Remember this: We are not doing the usual T-test here, but a modification of the Welch T-test. For samples with different variances, you need to specify an additional parameter equal_var=False in the ttest_ind() function. This will lead to the use of a modification of the Welch T-test, which is designed to work with samples with different variances.
- Calculate the mean values.
- Do a T-Test.
Solution
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Completion rate improved to 3.23Challenge: Second T-test
Swipe to start coding
Your task is to do a t-test. Recall that the distribution in the 'Click' column has a normal distribution in both datasets. Also, there is a statistically significant difference between the variances. Now it is time to find out whether there is statistical evidence that the means of the two samples are equal.
Remember this: We are not doing the usual T-test here, but a modification of the Welch T-test. For samples with different variances, you need to specify an additional parameter equal_var=False in the ttest_ind() function. This will lead to the use of a modification of the Welch T-test, which is designed to work with samples with different variances.
- Calculate the mean values.
- Do a T-Test.
Solution
Switch to desktop for real-world practiceContinue from where you are using one of the options belowThanks for your feedback!
single
Awesome!
Completion rate improved to 3.23Challenge: Second T-test
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Swipe to start coding
Your task is to do a t-test. Recall that the distribution in the 'Click' column has a normal distribution in both datasets. Also, there is a statistically significant difference between the variances. Now it is time to find out whether there is statistical evidence that the means of the two samples are equal.
Remember this: We are not doing the usual T-test here, but a modification of the Welch T-test. For samples with different variances, you need to specify an additional parameter equal_var=False in the ttest_ind() function. This will lead to the use of a modification of the Welch T-test, which is designed to work with samples with different variances.
- Calculate the mean values.
- Do a T-Test.
Solution
Switch to desktop for real-world practiceContinue from where you are using one of the options belowThanks for your feedback!
