The proper interpretation of a 95% confidence interval is: A. We are 95% confident that the point estimate is between the lower confidence limit and upper confidence limit. B. We are 95% confident that the population parameter is between the lower confidence limit and upper confidence limit. C. We are 95% confident that the test statistic is between the lower confidence limit and upper confidence limit. D. We are 95% confident that the sample mean is between the lower confidence limit and upper confidence limit.

Respuesta :

Answer:  B. We are 95% confident that the population parameter is between the lower confidence limit and upper confidence limit.

Step-by-step explanation:

In statistics, we know that the interpretation of [tex](1-\alpha)\%[/tex] level of confidence interval is that we are [tex](1-\alpha)\%[/tex] sure that the true population parameter lies in it.

Therefore, the proper interpretation of a 95% confidence interval is that we are 95% confident that the population parameter is between the lower confidence limit and upper confidence limit.