6.37 More than one confidence interval. As we prepare to take a sample and compute a

95% confidence interval, we know that the probability that the interval we compute will cover the

parameter is 0.95. That's the meaning of 95% confidence. If we plan to use several such intervals, however, our

confidence that all of them will give correct results is less than 95%. Suppose that we plan to take independent

samples each month for five months and report a 95% confidence interval for each set of data.

(a) What is the probability that all five intervals will cover the true means? This probability (expressed as a

percent) is our overall confidence level for the five simultaneous statements.

(b) Suppose we instead considered individual 99% confidence intervals. Now, what is the overall confidence

level for the five simultaneous statements?

(c) Based on the results of parts (a) and (b), how could you keep the overall confidence level near 95% if you

were considering 10 simultaneous intervals?