The concepts, logic, and terminology of hypothesis testing can take some time to master. It is worth it! Hypothesis testing is a very powerful statistical tool.
In this lesson, we covered how to set up the null and alternative hypotheses and how we can conclude to reject the null hypothesis or fail to reject the null. We also discussed the types of errors we can make and their respective probabilities.
We discussed how to apply our knowledge of sampling distributions to develop a test for a population parameter. We show how to complete the six steps for hypothesis testing for the population mean and the population proportion.
Next, we will move onto situations where we compare more than one population parameter.