Introduction to Hypothesis Testing
In This Chapter
◆ Formulating the null and alternative hypothesis
◆ Distinguishing between a one-tail and two-tail hypothesis test
◆ Controlling the probability of a Type I and Type II error
◆ Determining the boundaries for the rejection region for the hypothesis test
◆ Stating the conclusion of the hypothesis test
Now that we know how to make an estimate of a population parameter, such as a mean, using a sample and a confidence interval, let’s move on to the heart and soul of inferential statistics: hypothesis testing.
One thing statisticians like to do is to make a statement about a population parameter, collect a sample from that population, measure the sample, and declare, ...