Explain what "90% confidence" means in a 90% confidence interval.

A.

If 100 different confidence intervals areconstructed, each based on a different sample of size n from the samepopulation, then we expect 90

90 of the intervals to include the parameter and 10 to not include the parameter.

B.

The probability that the value of the parameter lies between the lower and upper bounds of the interval is 90

90%. The probability that it does not is 10%

C.

The value of the parameter lies within 90% of a standard deviation of the estimate.

D.

The confidence interval includes 90% of all possible values for the parameter.