Now We Can Answer

This chapter will help us to answer the question 'Can we believe that the variant of the site will help us to increase in clicks?'

So, we have studied how do 2 groups' distributions look like:

Their plots don't look similar;
Their confidence intervals don' cover each other a lot.

Earlier, we decided that we were going to use t-criterion criterion to cope with our problem. It is our last check to prove whether there is a NON-RANDOM difference between groups.

To perform the t-test use scipy.stats.ttest_ind(control_group_data, test_group_data).

Task

Swipe to start coding

Perform the t-test.

Solution

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Thanks for your feedback!

Section 2. Chapter 7

Now We Can Answer

This chapter will help us to answer the question 'Can we believe that the variant of the site will help us to increase in clicks?'

So, we have studied how do 2 groups' distributions look like:

Their plots don't look similar;
Their confidence intervals don' cover each other a lot.

Earlier, we decided that we were going to use t-criterion criterion to cope with our problem. It is our last check to prove whether there is a NON-RANDOM difference between groups.

To perform the t-test use scipy.stats.ttest_ind(control_group_data, test_group_data).

Task

Swipe to start coding

Perform the t-test.

Solution

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Thanks for your feedback!

Section 2. Chapter 7

Switch to desktop for real-world practiceContinue from where you are using one of the options below