Question: Andre is running an A/B Test for two different versions of his ad campaign using LinkedIn’s experimentation tools. After the test, he sees a p-value of 0.03. What does this p-value indicate about his ad campaign?
- There is a 3% likelihood that the difference in performance is due to random chance.
- The p-value suggests that both ad versions performed equally well, so no further action is needed.
- The p-value shows that the ad campaign is 97% effective.
- A p-value of 0.03 means she should rerun the test because the results are inconclusive.
The answer(s) to the question is highlighted in the BOLD text above. You can also find more questions and answers related to the exams on the “LinkedIn Marketing Measurement Certification” page.
