2. In terms of estimating population parameters using sample statistics, one would think that the highest...

2. In terms of estimating population parameters using sample statistics, one would think that the highest level of confidence in an estimate (in other words, the 99% confidence level) would always be preferred by researchers.

A. What is/are the advantage(s) of reporting a confidence interval at the 99% confidence level?

B. Explain why researchers might rather choose a lower level of confidence (say the 95% or 90% confidence level) in their estimation of confidence intervals.

Show all work, do not use outside interval calculator.

Solutions

Expert Solution

Level of significance plays a very important role in testing the hypothesis , a 1% level of significance means that we are taking only 1% risk of getting the difference when there is not actually difference between the population.

orchestra answered 1 year ago

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