Answer :
The difference (d) and standard deviation (sg) help to determine whether there is a consistent change in body temperature between the two time points and how varied those changes are among the subjects.
However, it seems that the data for the temperatures at both times are not provided completely. I can still explain the terms you mentioned.
d: In this context, 'd' likely represents the difference between the paired measurements (temperature at 8 AM minus temperature at 12 AM) for each subject. You would calculate this value for each subject using the provided data.
sg: This is likely referring to the standard deviation of the differences (d). Standard deviation is a measure of the dispersion or spread of data points in a dataset. In this case, sg would give an indication of how consistently the body temperature changed from 8 AM to 12 AM across the five subjects.
In general, the difference (d) and standard deviation (sg) help to determine whether there is a consistent change in body temperature between the two time points and how varied those changes are among the subjects.
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