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1. It is often difficult (if not impossible) to determine the population mean. We use confidence Intervals to estimate where we think the true mean
1. It is often difficult (if not impossible) to determine the population mean. We use confidence Intervals to estimate where we think the true mean lies. Discuss the advantages of using a confidence interval. Provide an original example of a large population of data that is suited to a confidence interval estimate. This would be an example where it would not be possible to find the true mean. 2. Provide an original example using the one-mean z-interval procedure (population standard deviation known). For this example, provide the following items: Describe the assumptions that must be met before using this procedure. Compute the confidence interval for a 95% confidence level. Show all work. 3. Provide an original example using the one-mean t-interval procedure (population standard deviation unknown). For this example, provide the following items: Describe the assumptions that must be met before using this procedure. Compute the confidence interval for a 95% confidence level. Show all work. 4. Discuss the factors that influence the accuracy of the confidence interval estimate
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