Learn Now We Can Answer | The First A/B Test

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

Everything was clear?

Thanks for your feedback!

Section 2. Chapter 7

single

Ask AI

Ask anything or try one of the suggested questions to begin our chat

Suggested prompts:

Summarize this chapter

Explain the code in file

Explain why file doesn't solve the task

Swipe to show menu

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

single

Now We Can Answer

Solution

Awesome!

Now We Can Answer

Solution

Awesome!