An epidemiologist wishes to check that normal body temperature are indeed 98.6 degrees. They draw a random sample of 18 individuals and the sample mean is found to be 98.217 degrees with a standard deviation was .684. What can the epidemiologist conclude about body temperatures?
Here, we have to use one sample t test for the population mean.
The null and alternative hypotheses are given as below:
H0: µ = 98.6 versus Ha: µ ≠ 98.6
This is a two tailed test.
The test statistic formula is given as below:
t = (Xbar - µ)/[S/sqrt(n)]
From given data, we have
µ = 98.6
Xbar = 98.217
S = 0.684
n = 18
df = n – 1 = 17
α = 0.05
Critical value = - 2.1098 and 2.1098
(by using t-table or excel)
t = (Xbar - µ)/[S/sqrt(n)]
t = (98.217 - 98.6)/[0.684/sqrt(18)]
t = -2.3756
P-value = 0.0295
(by using t-table)
P-value < α = 0.05
So, we reject the null hypothesis
There is not sufficient evidence to conclude that normal body temperature is indeed 98.6 degrees.
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