/A-B-testing

Tried to understand whether the company should implement a new page or keep the old page with some statistical techniques.

Primary LanguageHTML

Analyze A/B Test Results

Within the framework this project, we tried to understand whether the company should implement a new page or keep the old page with following:

  • Probability based approach.
  • A/B test.
  • Regression approach.

Probability based approach:

  • We will try to find probability of an individual receiving the new page or an old page and what are the chances of those.

A/B test:

  • In A/B test we set up our hypothesis to test if new page results in better conversion or not.
  • We will simulate our user groups with respect to conversions.
  • We will find the the p_value.
  • We will also use an alternative approach to validate / double check our results and decide whether to reject the null hypothesis.

Regression Approach:

  • We shall look at exploring two possible outcomes. Whether new page is better or not.
  • By further adding geographic location of the users, we will attempt to find if any specific country had an impact on conversion