A 95% confidence interval means
A)a researcher is 95% sure of the study results
B)respondents are confident, on the average, of 95% of the answers they give
C)chi-square tests are equal to .95
D)95 out of 100 samples taken from that universe would give results in the interval

Question

Quizplus · Accepted Answer

A 95% confidence interval means that if we were to take 100 different random samples from the population, and calculate a confidence interval for each sample, around 95 of the intervals would contain the true population parameter we are interested in (such as the mean or proportion). This is because we are 95% confident that the true parameter falls within the calculated interval.

A 95% Confidence Interval Means