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Course Content

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: Plottig 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

The Art of A/B Testing

Challenge: Fourth T-TestChallenge: Fourth T-Test

Task

Your task is to do a t-test. Recall that the distribution in the 'Earning' column has a normal distribution in both datasets. Also, there is no statistically significant difference between the variances. Are the means of the two samples equal?

  1. Calculate the mean values.
  2. Perform a t-test.

Everything was clear?

Section 4. Chapter 5
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