In Exercises 21–24, refer to the data in the table below. The entries are white blood cell counts (1000 cells,ML) and red blood cell counts (million cells,ML) from male subjects examined as part of a large health study conducted by the National Center for Health Statistics. The data are matched, so that the first subject has a white blood cell count of 8.7 and a red blood cell count of 4.91, and so on.

Given the context of the data in the table, what issue can be addressed by conducting a statistical analysis of the measurements?

The data records paired values of red and white blood cell counts for five subjects in units ML (million cells).

For evaluating the type of statistical analysis, the description of the data is essential to be identified. As per the type of data, the analysis can be conducted either according to a certain aim or the practicality of the final results.

The data, in this case, is a matched paired.

Correlation analysis can be conducted on the paired data for blood cells. It will help to establish a relationship between the two types of blood counts.

It can be used to determine if the change in any one type of blood count would affect the count of the other blood cells. This could be beneficial from a medical point of view.

Thus, correlation analysis can be used to analyze measurements statistically.