course content

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: Plotting BoxplotsChallenge: Plotting Boxplots

Task

In this task, you need to draw box plots of the 'Click' columns for the control and test samples. Box plots are very informative graphs and are constantly used for visual analysis of data distribution.

  1. Import libraries.
  2. Read the files.
  3. Plot the boxplots.

Everything was clear?

Section 2. Chapter 6
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