A 99 percent confidence interval allows us to say that if we took many, many samples from the population:
A) all of the samples would contain a range that included the population parameter.
B) 99 percent of the samples would contain a range that included the population parameter.
C) 99 percent of the samples would allow us to estimate the mean within + 1 percent.
D) 1 percent of the samples would contain a range that included the population parameter.
E) 1 percent of the samples would allow us to estimate the mean with + 1 percent.

Question

Quizplus · Accepted Answer

A 99% confidence interval means that if we take many samples from a population, we expect 99% of them to contain a range that includes the population parameter. It does not provide information on the accuracy of the estimate, as choices C and E suggest, nor does it imply that all samples will contain the parameter, as in choice A. Choice D is incorrect because it suggests that only 1% of samples would yield a correct range, which is not the case in a 99% confidence interval.

A 99 Percent Confidence Interval Allows Us to Say That