A researcher calculated a 95 percent confidence interval using a random sample of size 10. When a

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A researcher calculated a 95 percent confidence interval using a random sample of size 10. When a colleague suggested that the sample was pretty small, the researcher doubled the size of the sample by assuming that he had an additional ten observations identical to his first ten observations. What do you think happened to his sample mean? The width of his confidence interval? If the width of his confidence interval decreased, would this be a good argument for following his procedure?

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