Course Content

# The Art of A/B Testing

1. What is A/B testing?

The Art of A/B Testing

## Challenge: 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*.

- Calculate the
*mean*values. - Do a
**T-Test**.

Everything was clear?

Section 4. Chapter 3