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Challenge: Second T-test | T-Test
The Art of A/B Testing

Challenge: Second T-testChallenge: Second T-test

Task

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.

  1. Calculate the mean values.
  2. Do a T-Test.

Everything was clear?

Section 4. Chapter 3
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course content

Course Content

The Art of A/B Testing

Challenge: Second T-testChallenge: Second T-test

Task

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.

  1. Calculate the mean values.
  2. Do a T-Test.

Everything was clear?

Section 4. Chapter 3
toggle bottom row
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