Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.Lära Challenge: Second T-test | T-Test
The Art of A/B Testing
course content

Kursinnehåll

The Art of A/B Testing

The Art of A/B Testing

1. What is A/B testing?
Let's StartPrepare for the TestExample A/A Test
2. Normality Check
About NormalityDescriptive StatisticsChallenge: Descriptive StatsHistograms and Box Plots Challenge: Plotting HistsChallenge: Plotting BoxplotsShapiro TestChallenge: Shapiro Test
3. Variances in A/B Testing
Violin and Swarm PlotsChallenge: Violin and Swarm Plots (Part 1)Challenge: Violin and Swarm Plots (Part 2)Levene's TestChallenge: First Levene's TestChallenge: Second Levene's Test
4. T-Test
Graphical Results of Previous StudiesThe First T-TestChallenge: Second T-testThe Third T-TestChallenge: Fourth T-Test
5. U-Test
Metrics Challenge: Define metricChallenge: Another Normality TestThe First U-TestChallenge: The Second U-TestChallenge: The Last U-TestThe Third U-testResults

book
Challenge: Second T-test

Uppgift

Swipe to start coding

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.

  1. Calculate the mean values.
  2. Do a T-Test.

Lösning

Switch to desktopByt till skrivbordet för praktisk övningFortsätt där du är med ett av alternativen nedan
Var allt tydligt?

Hur kan vi förbättra det?

Tack för dina kommentarer!

Avsnitt 4. Kapitel 3
toggle bottom row

book
Challenge: Second T-test

Uppgift

Swipe to start coding

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.

  1. Calculate the mean values.
  2. Do a T-Test.

Lösning

Switch to desktopByt till skrivbordet för praktisk övningFortsätt där du är med ett av alternativen nedan
Var allt tydligt?

Hur kan vi förbättra det?

Tack för dina kommentarer!

Avsnitt 4. Kapitel 3
Switch to desktopByt till skrivbordet för praktisk övningFortsätt där du är med ett av alternativen nedan
Vi beklagar att något gick fel. Vad hände?
some-alt