In: Statistics and Probability
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.
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.