High School

Dependent Samples

Listed below are body temperatures of four subjects measured at two different times in a day:

- **Before:** 98.0, 97.0, 98.6, 97.4
- **After:** 98.0, 97.6, 98.8, 98.0

**Difference (d = Before - After)**

1. Compute the 90% confidence interval for the difference (Before - After) in body temperature.

Assume all populations are normally distributed and simple random sampling is done.

Answer :

To compute the 90% confi-dence interval for the difference in body temperature (Before-After), we first need to calculate the mean difference and the standard deviation of the differences . Using the given data, Here, n = 4 - which gives us a critical value of t = 2.776.

Finally, we calculate the margin of error using the formula:

E = t [tex]\times[/tex](s / √n). Substituting the values,

we get

E = 2.776 [tex]\times[/tex] (0.872 / √4) = 1.217.

Therefore, the 90% confidence interval for the difference in body temperature is (-1.442, 0.992). This means we are 90% confi-dent that the true difference in body temperature lies between -1.442 and 0.992.

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