Question

fill in the blank.
in a confidence interval, the amount we reach out on either side of the sample proportion is called the

in a confidence interval, the amount we reach out on either side of the sample proportion is called the

margin of error.
sample size.
sampling variability.
confidence level.

Explanation:

In statistics, when constructing a confidence interval for a sample proportion, the margin of error represents the amount we extend on either side of the sample proportion. The sample size is the number of observations in the sample. Sampling variability refers to the fact that different samples from the same population will give different results. The confidence level is the probability that the confidence interval contains the true population parameter. Since the question is about the amount on either side of the sample proportion in a confidence interval, the relevant term is the margin of error.

Answer:

margin of error