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The Art of A/B Testing
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Cursusinhoud

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: Descriptive Stats

We will remind you of some descriptive statistics:

  • count - the number of observations in the sample;
  • mean - the sum of the values ​​of all observations divided by their number;
  • std - the square root of the variance, which characterizes the degree of deviation of the data from the average value of the sample;
  • median - central value that divides the sample into two equal parts;
  • min - the smallest sample value;
  • max - the largest sample value.
Taak

Swipe to start coding

In this task, you need to calculate descriptive statistics and display the result. Finding descriptive statistics is an important part of A/B testing because they provide summary information about the sample. We will use this information in the future.

  1. Import the pandas.
  2. Read files.
  3. Calculate descriptive statistics.
  4. Concat the results of aggregations.
  5. Print the results.

Oplossing

Switch to desktopSchakel over naar desktop voor praktijkervaringGa verder vanaf waar je bent met een van de onderstaande opties
Was alles duidelijk?

Hoe kunnen we het verbeteren?

Bedankt voor je feedback!

Sectie 2. Hoofdstuk 3
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book
Challenge: Descriptive Stats

We will remind you of some descriptive statistics:

  • count - the number of observations in the sample;
  • mean - the sum of the values ​​of all observations divided by their number;
  • std - the square root of the variance, which characterizes the degree of deviation of the data from the average value of the sample;
  • median - central value that divides the sample into two equal parts;
  • min - the smallest sample value;
  • max - the largest sample value.
Taak

Swipe to start coding

In this task, you need to calculate descriptive statistics and display the result. Finding descriptive statistics is an important part of A/B testing because they provide summary information about the sample. We will use this information in the future.

  1. Import the pandas.
  2. Read files.
  3. Calculate descriptive statistics.
  4. Concat the results of aggregations.
  5. Print the results.

Oplossing

Switch to desktopSchakel over naar desktop voor praktijkervaringGa verder vanaf waar je bent met een van de onderstaande opties
Was alles duidelijk?

Hoe kunnen we het verbeteren?

Bedankt voor je feedback!

Sectie 2. Hoofdstuk 3
Switch to desktopSchakel over naar desktop voor praktijkervaringGa verder vanaf waar je bent met een van de onderstaande opties
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