Question

Suppose a national polling agency conducted 100 polls in a year, using proper random sampling, and reported a 95% confidence interval for each poll. About how many of those confidence intervals would be wrong, that is, would not cover the true population value?

Answer 1

Answer:

5% intervals were wrong

Answer 2

Using the interpretation of a confidence interval, it is found that about 5 of them would be wrong, that is, would not cover the true population value.

What is the interpretation of a x% confidence interval?

It means that we are x% confident that the population parameter(mean/proportion/standard deviation) is between a and b.

In this question, for the 95% confidence interval, 95% of the intervals should be right and 5% should be wrong, hence:

0.05 x 100 = 5.

About 5 of them would be wrong, that is, would not cover the true population value.

More can be learned about the interpretation of a confidence interval at https://brainly.com/question/25822483