Fundamentals of A/B Testing
A/B Testing is a powerful statistical tool used to compare the results between two versions of the same marketing asset such as a webpage or email in a controlled environment. An example of A/B testing is when Electronic Arts created a variation version of the sales page for the popular SimCity 5 simulation game, which performed 40% better than the control page. Speaking about video games, in this free practice test, you are a data analyst who is tasked with the job to conduct A/B testing for a game developer. You are going to be asked to choose the best way to perform an A/B test, identify the null hypothesis, choose the right evaluation metrics, and ultimately increase revenue through in-game ads.
Anastasia KuznetsovaInstructor at 365 Data Science Linkedin profile
Who is it for
This free A/B practice quiz is for data scientists, data analysts, Bi analysts, and anyone who is interested in using the powerful statistical capabilities of the A/B testing method to increase user experience and business sales.
How it can help you
The availability of big data has created the golden opportunity for global business to extract valuable insights about market behavior. One methodology of doing so is through the A/B testing method, which is why it is a valuable skill to have as a data scientist. Find out how well you know this statistical tool with this quick assessment exam.
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