Chapter 7 Hypothesis Testing

In the last chapter, we began to explore relationships between two variables with graphs. In this chapter, we will learn how to examine relationships between two variables using hypothesis testing. With statistical tools, we can improve our confidence that the relationship observed in the graphs exists with a high degree of confidence known as statistical significance. As with graphs, the hypothesis test we use differs depending on the type of data we have.

	Dependent (Response) Variable
Independent (Explanatory) Variable	Categorical	Quantitative
Categorical	Chi-Square (C -> C)	ANOVA (C -> Q)
Quantitative	Chi-Square (Q -> C)	Correlation (Q -> Q)

Depending on the type of data you have, you may need to use your data management skills in running these hypothesis tests. Some data management strategies are covered in the examples.

There are brief discussions of how to interpret results here. The Passion Driven Statistics videos cover this in detail.