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A data set used to investigate the claim that “normal” temperature is 98.6 degrees.

1 |

A data frame with 130 observations on the following 3 variables.

- temperature
normal body temperature

- gender
Gender 1 = male, 2 = female

- hr
Resting heart rate

Is normal body temperature 98.6 degrees Fahrenheit? This dataset was constructed to match data presented in an are article intending to establish the true value of “normal” body temperature.

This data set was contributed by Allen L. Shoemaker to the
*Journal of Statistics Education*,
http://www.amstat.org/publications/jse/datasets/normtemp.txt.

Data set is simulated from values contained in
Mackowiak, P. A., Wasserman, S. S., and Levine, M. M. (1992), "A
Critical Appraisal of 98.6 Degrees F, the Upper Limit of the Normal Body
Temperature, and Other Legacies of Carl Reinhold August Wunderlich,"
*Journal of the American Medical Association*, 268, 1578-1580.

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```
Loading required package: MASS
Loading required package: HistData
Loading required package: Hmisc
Loading required package: lattice
Loading required package: survival
Loading required package: Formula
Loading required package: ggplot2
Attaching package: 'Hmisc'
The following objects are masked from 'package:base':
format.pval, round.POSIXt, trunc.POSIXt, units
Attaching package: 'UsingR'
The following object is masked from 'package:survival':
cancer
One Sample t-test
data: normtemp$temperature
t = 0.76559, df = 129, p-value = 0.4453
alternative hypothesis: true mean is not equal to 98.2
95 percent confidence interval:
98.12200 98.37646
sample estimates:
mean of x
98.24923
Call:
lm(formula = temperature ~ factor(gender), data = normtemp)
Residuals:
Min 1Q Median 3Q Max
-1.99385 -0.47154 0.00615 0.40615 2.40615
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 98.10462 0.08949 1096.298 <2e-16 ***
factor(gender)2 0.28923 0.12655 2.285 0.0239 *
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 0.7215 on 128 degrees of freedom
Multiple R-squared: 0.03921, Adjusted R-squared: 0.0317
F-statistic: 5.223 on 1 and 128 DF, p-value: 0.02393
```

UsingR documentation built on May 2, 2018, 1:03 a.m.

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