1.) When we are determining the sample size needed to estimate a population proportion within a specified margin of error, why do we use p = 0.5 when a pilot study or previous study is not available?
2.) What three conditions must be met in order to create a confidence interval for a population mean from a raw set of data?
3.) What distribution is used to create a confidence interval for a population variance or standard deviation? Can you please list some of its properties.
4.) Explain the difference in type I and type II errors you can get when running a hypothesis test.
5.) When do you need to use the binomial probability distribution to run a hypothesis test for a population proportion?
6.) Explain the three different "tail" tests that can be run for any particularly given parameter.
7.) Explain, in your own words, how you create a confidence interval or run a hypothesis test for two population means when their respective samples are dependent.
8.) Explain, in your own words, the difference between the classical approach and p-value approach in running a hypothesis test.
9.) Since there is not an F test on your graphing calculator, how do you find the p-value when doing a hypothesis test?