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.

 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 level of confidence interval is that we are 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.

to determine the unit cost your would divide the total cost by the number sold.

7 bagels for $4.41       $4.41/7 = $.63 each at fresh side

5 bagels for $3.60         $3.60/5 = $.72 each at value mart