Question

A data collection method is described to investigate a difference in means. In each case, determine which data analysis method is more appropriate: paired data difference in means or difference in means with two separate groups. To study the effect of sitting with a laptop computer on one's lap on scrotal temperature, 29 men have their scrotal temperature tested before and then after sitting with a laptop for one hour.

Short answer

The data analysis method more appropriate for this scenario is 'Paired Data Difference in Means' as the measurements have been made under two different conditions on the same group of men.

Step-by-step solution

Understanding the Difference Between the Two Methods

The 'Paired Data Difference in Means' is a method mainly used when the same group is observed under two different conditions or measurements are made on pairs of alike units, sharing some features. On the other hand, the 'Difference in Means with Two Separate Groups' method is used when observations are made on two distinct, independent groups.

Observing the Given Data

In the given exercise, it can be observed that the scrotal temperatures of the same group of 29 men are recorded at two different instances, i.e., before and after sitting with a laptop for one hour. No separate or independent groups are mentioned.

Aligning Given data with Appropriate Method

Since the measurements are made on the same group under two different conditions, it aligns more with the usage of 'Paired Data Difference in Means' method. This is because we are assessing the impact of a single variable (laptop) on the specified group rather than comparing two distinct groups.