In Exercises 17–20, refer to the sample of body temperatures (degrees Fahrenheit) in the table below. (The body temperatures are from a data set in Appendix B.)

	1	2	3	4	5
8 AM	97	98.5	97.6	97.7	98.7
12 AM	97.6	97.8	98	98.4	98.4

Conclusion Given the body temperatures in the table, what issue can be addressed by conducting a statistical analysis of the data.

Five pairs of body temperatures are recorded at 8 AM and 12 AM.

Statistical analysis is a procedure to conclude statistically from certain data. The data is paired, which means two variables record for the same subject.

In the case of paired data on a continuous scale of measurement, the simplest analysis can be conducted based on association (correlation analysis) or test for two group means.

The correlation analysis is performed to check whether there is an association between the groups.

The test for two groups' means can check significant differences between the two groups in terms of their averages (or means).

In the case of body temperatures, analyses can be conducted:

• To examine the presence of significant differences between the means of body temperatures recorded at 8 AM and 12 AM
• To examine whether there is any relation or (correlation) between the body temperatures recorded at 8 AM and 12 AM