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: Define metricChallenge: Define metric

Task

In this task, you must add the 'Average Earnings per Click metric' to the control and test samples. After that, you should plot the histograms of the new columns and mark the mean values ​​of the metrics on the graph.

  1. Import libraries.
  2. Read the files.
  3. Define the 'Average Earnings per Click' metric and add it to both samples.
  4. Add a line of the mean value.

Everything was clear?

Section 5. Chapter 2
toggle bottom row