Perform an A/B testWhich of the following statements is true?You can reject the null hypothesis while testing at a 20% significance level but not at 10%.You can reject the null hypothesis while testing at a 10% significance level but not at 5%.You can reject the null hypothesis while testing at a 5% significance level but not at 1%.You can reject the null hypothesis while testing at a 1% significance level.

The correct statement is: "You can reject the null hypothesis while testing at a 10% significance level but not at 5%."

Here's why:

The significance level, also denoted as alpha or α, is a measure of the strength of the evidence that must be present in your sample before you will reject the null hypothesis and decide in favor of the alternative hypothesis.

A lower significance level means that you require stronger evidence before you will reject the null hypothesis. So, if you can reject the null hypothesis at a 10% significance level, it means that the evidence in your sample met this threshold. However, if you cannot reject the null hypothesis at a 5% significance level, it means that the evidence in your sample did not meet this stricter threshold.

In other words, the evidence was strong enough to meet a 10% threshold (you are willing to accept a 10% chance of being wrong), but not strong enough to meet a 5% threshold (you are only willing to accept a 5% chance of being wrong).

The other statements are incorrect because they suggest that you can reject the null hypothesis at a lower significance level (which requires stronger evidence) but not at a higher one (which requires weaker evidence), which is not possible.