Question

Will give brainliest -- (there is more than one answer) When constructing a confidence interval for a difference between two population proportions, why is it important to check that the number of successes and the number of failures in each sample is at least 10?

Answer 1

Answer:

From my opinion

Step-by-step explanation:

1: To keep track that if there is more succses than failure then your doing great or vice versa as if more faliure than succesess then your going in a wrong path so it shows that you may have to reconsider your procedures.

2: It shows your clean procedure all well maintained and it shows your attempts and your poll of succesess and failure.