The way to interpret a confidence interval is as follows: If you repeated your survey multiple times (literally,thousands of times),and plotted your p,or percentage,found for each on a frequency distribution,it would look like a bell-shaped curve,and 95% of your percentages would fall in the confidence interval defined by the population percentage ±1.96 times the standard error of the percentage.

Question

Quizplus · Accepted Answer

This statement accurately describes how to interpret a confidence interval. The 95% confidence interval represents the range of values that would contain the true population parameter in 95% of repeated samples, assuming the same sampling method and sample size. The formula for calculating the confidence interval incorporates the sample mean, standard deviation, sample size, and critical value based on the desired confidence level.

The Way to Interpret a Confidence Interval Is as Follows