Statistical Significance
Statistical significance is a mathematical tool used in A/B testing to conclude whether the difference in conversion rates between two variants is not by chance. This is typically measured with a p-value. If the p-value is below a predetermined threshold (often 0.05), we reject the null hypothesis …
PMI-ACP - Statistical Significance Example Questions
Test your knowledge of Statistical Significance
Question 1
Your agile team conducted a survey on the usability of a new feature and collected feedback. Anatomy of the collected data gives a Z-score of -1.75. What does this imply?
Question 2
Your team collected customer satisfaction data in the last sprint, and you are told that the result has a z-score of -2.5. What can be concluded from this information?
Question 3
In your Agile team, an analysis of customer complaint data indicates a Z-score of 2.6. What implications does this have for your team?