Question

An analyst runs an A/B test comparing a new checkout page (variant B) against the current page (variant A) to see if it increases conversion rate. Using a significance level of 0.05, the hypothesis test returns a p-value of 0.18. How should the analyst interpret this result?

Accepted Answer

There is insufficient evidence to conclude that the new checkout page significantly changed the conversion rate; fail to reject the null hypothesis.

Answer

The new checkout page definitively improved conversion, since a p-value below 1.0 confirms an effect exists.

Answer

The result is statistically significant because the p-value is greater than the significance level of 0.05.

Answer

The p-value of 0.18 means there is an 18% probability that the new page is better than the old page.