# 36 Selecting an analysis

Selecting the correct confidence interval or hypothesis test can be challenging, and this book only describes a small number of possible scenarios. For the situations studied in this book, determining the number of variables and the types of variables (qualitative or quantitative) is important (Table 36.1).

So far, only descriptive and relational RQs have been studied.
The next two chapters consider *correlational RQs* (Sect. 2.6).
*Appendix C* may also prove useful.

## 36.1 Exercises

Answers to odd-numbered exercises are available in App. E.

**Exercise 36.1 **Suppose researchers compare the mean number of hours of exercise per week for British office workers, both in summer and in winter, to see if the means are different.

What methods would be a suitable for creating a summary and performing analyses?

**Exercise 36.2 **Suppose researchers wish to *estimate* the difference between the mean number of hours of sunlight exposure per day for female and male teachers in Denmark.

What methods would be a suitable for creating a summary and performing analyses?

**Exercise 36.3 **Suppose researchers wish to compare the proportion of trees housing koalas in an Australian national park, comparing trees more than \(10\)tall with trees \(10\)or shorter.

What methods would be a suitable for creating a summary and performing analyses?

**Exercise 36.4 **Suppose researchers are wanting to *estimate* the difference between the mean number of hours spent on social media for Indian people aged over \(30\), to people aged \(30\) and under.

What methods would be a suitable for creating a summary and performing analyses?

The following short video may help explain some of these concepts. Note that the test for correlation and regression have not yet been covered in this book (but they will be in the next few chapters).