What does a p-value of 0.03 mean in an A/B test?
This tests your practical grasp of statistical significance. A good answer defines p-value (probability of the result if the null hypothesis is true), explains that p=0.03 is significant vs. alpha=0.05, and concludes you can reject the null.
This question tests your practical understanding of statistical significance and the null hypothesis. A strong answer defines p-value as the probability of seeing the result (or more extreme) if there's no real effect. For p=0.03, you'd state it's significant (vs. alpha=0.05), allowing you to reject the null hypothesis and conclude the feature has a real effect. The key red flag is misinterpreting the p-value as 'the probability that B is better than A' or 'the probability the null hypothesis is true'.
Read the original → analytics-toolkit.com
- #a/b testing
- #statistics
- #product analytics
- #metrics
Get five bites like this every day.
Tezvyn delivers a daily feed of 60-second tech bites with quizzes to lock in what you learn.