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How do we determine which are true and which are false? After completing this calcuation, the...

How do we determine which are true and which are false?

After completing this calcuation, the analyst wishes to understand how different factors influence the sample size calculation for this type of problem. Which of her statements are correct? Briefly explain your reasoning.

a) The required sample size is directly proportional to the population variance.

b) The required sample size is inversely proportional to half the width of the desired confidence interval.

c) The required sample size is directly proportional to the square of the z critical value za/2.

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Answer #1

The sample size n is given by where σ is the population var inace, E is the mangin of eror(half of the width of desired confi

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