- Identify the components of a hypothesis test, including the parameter of interest, the null and alternative hypotheses, and the test statistic.
- Describe the proper interpretations of a p-value as well as common misinterpretations
- Distinguish between the two types of error in hypothesis testing, and the factors that determine them.
- Describe how resampling can be used to compute a p-value.
- Define the concept of statistical power, and compute statistical power for a given statistical test.
- Describe the main criticisms of null hypothesis statistical testing
In the first chapter we discussed the three major goals of statistics:
In this chapter we will introduce the ideas behind the use of statistics to make decisions – in particular, decisions about whether a particular hypothesis is supported by the data.