Answer :
Final answer:
The question deals with a statistical analysis of a sample of body temperatures. The analysis involves calculating values like mean and standard deviation. After which conclusions can be drawn using these metrics at a 0.01 level of significance.
Explanation:
The question seems to be asking for a statistical analysis of a sample of body temperatures at a 0.01 level of significance.
To do this, we would usually compute a few key values like mean, median, mode, standard deviation, etc. This helps us understand the dispersion and central tendency of our data.
For example, adding up all the values and dividing by the number of individuals (24 in this case, I assume there's a typo in the question since it mentions 13 but gives 24 temperatures) would give us the average or mean temperature. Calculating the standard deviation would provide an understanding of how spread out individuals' temperatures are around this mean.
Once we have these key metrics, we'd typically run some type of hypothesis test to make conclusions with a 0.01 level of significance, for example, whether or not these temperatures are significantly different from a hypothetical average healthy body temperature.
Learn more about Statistical Analysis here:
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