Consider the 1000 95% confidence intervals (CI) for μ that a statistical consultant will obtain for various clients. Suppose the data sets on which the intervals are based are selected independently of one another. How many of these 1000 intervals do you expect to capture the corresponding value of μ ? What is the probability that between 950 and 970 of these intervals contain the corresponding value of μ ? (Hint: Let Y = the number among the 1000 intervals that contain μ . What kind of random variable is Y?).

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The Answer of Consider the 1000 95% confidence intervals (CI) for μ that a statistical consultant will obtain for various clients. Suppose the data sets on which the intervals are based are selected independently of one another. How many of these 1000 intervals do you expect to capture the corresponding value of μ ? What is the probability that between 950 and 970 of these intervals contain the corresponding value of μ ? (Hint: Let Y = the number among the 1000 intervals that contain μ . What kind of random variable is Y?).

Consider the 1000 95% Confidence Intervals (CI) for μ That