Mobile Games: A/B Testing

A/B test is to be analyzed from the popular mobile puzzle game, Cookie Cats. The data is about A/B test with a mobile game, Cookie Cats. The data link is written here , please have a look.

The purpose of this repo is to show my understandings on A/B test. It is one practical experience for A/B Test.

In the dataset,

• two version/groups: gate_30 & gate_40,
• measureable result: retention_1, retention_7 & sum_gamerounds

A/B Testing Procedure

1. Understand the Problem

   1. If mobile game shall adjust its version from gate_30 to gate_40 so that the game rounds could increase and 1-day retention and 7-day retention could decrease.

2. Hypothesis Testing

   1. Set Up Hypothesis

      1. Null Hypothesis (H0): There is no statistical difference between gate_30 && gate_40
      2. Alternative Hypothesis (Ha) : There is statistical difference between two groups.

   2. Analysis the result i) Because the data is given, choose the statistical method

      1. method 1:Mann Whitney U Test Result
      2. method 2: Bootstrapping multiple times and find difference two versions'median value. Generate the density plot to show

3. Interpret results If the result is lower than threshold (p-value), then H0 hypothesis will be rejected, in other word, there is a statistically signficiant difference between them. Else, there is no statistical difference between them.

Conclusion

Becuase there is no significant difference, thus, there is no need to move from gate_30 to gate_40 by AB Test.

Versioning

Github/Git are used for versioning/sharing.

Authors

• James Li

License

This project is licensed under the MIT License - see the LICENSE.md file for details