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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).

Oppgave

Swipe to start coding

Perform the t-test.

Løsning

Bytt til skrivebordet for virkelighetspraksisFortsett der du er med et av alternativene nedenfor

Alt var klart?

Takk for tilbakemeldingene dine!

Seksjon 2. Kapittel 7

Spør AI

Spør om hva du vil, eller prøv ett av de foreslåtte spørsmålene for å starte chatten vår

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).

Oppgave

Swipe to start coding

Perform the t-test.

Løsning

Bytt til skrivebordet for virkelighetspraksisFortsett der du er med et av alternativene nedenfor

Alt var klart?

Takk for tilbakemeldingene dine!

Seksjon 2. Kapittel 7

Bytt til skrivebordet for virkelighetspraksisFortsett der du er med et av alternativene nedenfor