Question: Data Analysis Project:

The N = 130 scores in the temphr.sav file are hypothetical data created by Shoemaker (1996) so that they yield results similar to those obtained in an actual study of temperature and HR (Mackowiak et al., 1992).

Use the Temperature data in the temphr.sav file to do the following:

Note that temperature in degrees Fahrenheit (tempt.) can be converted into temperature in degrees centigrade (tempc) by the following: tempc = (tempf - 32)/1.8. The following analyses can he done on tempf, tempc, or both tempf and tempc.

1. Find the sample mean, M; standard deviation, s; and standard error of the mean, SE _M , for scores on temperature.
2. Examine a histogram of scores on temperature. Is the shape of the distribution reasonably close to normal?
3. Set up a 95% CI for the sample mean, using your values of M, s. and N (N= 130 in this dataset).
4. The temperature that is popularly believed to be "average" or "healthy" is 98.6°F (or 37°C). Does the 95% CI based on this sample include the value 98.6, which is widely believed to represent an "average/healthy" temperature? What conclusion might you draw from this result?

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