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Refer to the sample of body temperatures (degrees Fahrenheit) in the table below. Given these temperatures, what issue can be addressed by conducting a statistical analysis of the data?

[tex]\[
\begin{tabular}{l|c|c|c|c|c}
\hline
Subject & 1 & 2 & 3 & 4 & 5 \\
\hline
8 AM & 97.0 & 98.5 & 97.6 & 97.7 & 98.7 \\
\hline
12 AM & 97.6 & 97.8 & 98.0 & 98.4 & 98.4 \\
\hline
\end{tabular}
\][/tex]

Choose the correct answer below:

A. The data can be used to find the percentage of people whose body temperature increases with illness.

B. The data can be used to address the issue of whether there is a difference between average body temperature for males and for females.

C. The data can be used to address the issue of whether there is a correlation between average body temperature and a person's exposure to sunlight.

D. The data can be used to address the issue of whether there is a correlation between body temperatures at 8 AM and at 12 AM.

Answer :

To determine which issue can be addressed by conducting a statistical analysis of the given data, let's look closely at the options.

We have body temperatures for 5 subjects measured at two different times: 8 AM and 12 AM. The table presents these temperatures, and our task is to see what kind of statistical analysis can be done with this data.

Option A: This option talks about the percentage of people whose body temperature increases with illness. The data given are simply temperature recordings at two times without any reference to illness, so these data cannot be used for this purpose.

Option B: This option is about comparing average body temperatures between males and females. The data does not indicate the gender of the subjects, so we cannot address this issue with the given information.

Option C: This option discusses the correlation between body temperature and sunlight exposure. However, the data only includes temperature readings at specific times, and there is no information about exposure to sunlight.

Option D: This option is about examining the correlation between body temperatures at 8 AM and 12 AM. Since we have temperatures recorded at these two specific times, we can analyze the data to determine if there is any correlation between the temperatures at these two times.

Therefore, the statistical analysis of the data can address the issue as described in option D: whether there is a correlation between body temperatures at 8 AM and at 12 AM.

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Rewritten by : Jeany