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?.

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19-01-2022
Mathematics

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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?.

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azikennamdi azikennamdi · Answer 1 · 2022-02-01T14:34:43+01:00

The reason why the number of failures and successes in two population proportions must be up to 10 is because it is important to have many of samples from both populations.

What is a Confidence Interval?

This refers to the probability displayed that a parameter will exist between a pair of values around the mean.

It measures the extent to which one can be certain or uncertain about ones sampling method. Confidence Intervals are usually constructed using levels of 95% or 99%.

Learn more about confidence interval in the link below:
https://brainly.com/question/15712887