Зміст курсу
The Art of A/B Testing
The Art of A/B Testing
1. What is A/B testing?
Challenge: Second T-test
Завдання
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.
Завдання
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.
Все було зрозуміло?
Challenge: Second T-test
Завдання
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.
Завдання
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.
Все було зрозуміло?
Challenge: Second T-test
Завдання
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.
Завдання
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.
Все було зрозуміло?
Завдання
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.
Перейдіть на комп'ютер для реальної практикиПродовжуйте з того місця, де ви зупинились, використовуючи один з наведених нижче варіантів