It is commonly believed that the mean body temperature of a
healthy adult is 98.6∘F. You are not entirely convinced. You
believe that it is not 98.6∘F. You collected data using 54 healthy
people and found that they had a mean body temperature of 98.26∘F
with a standard deviation of 1.16∘F. Use a 0.05 significance level
to test the claim that the mean body temperature of a healthy adult
is not 98.6∘F.
a) Identify the null and alternative
hypotheses?
H0: ?
H1: ?
b) What type of hypothesis test should you conduct
(left-, right-, or two-tailed)?
c) Identify the appropriate significance
level.
d) Calculate your test statistic. Write the result
below, and be sure to round your final answer to two decimal
places.
e) Calculate your p-value. Write the result below,
and be sure to round your final answer to four decimal
places.
f) Do you reject the null hypothesis?
g) Select the statement below that best represents
the conclusion that can be made.
a)
Below are the null and alternative Hypothesis,
Null Hypothesis, H0: μ = 98.6
Alternative Hypothesis, Ha: μ ≠ 98.6
b)
two tailed
c)
0.05
d)
Test statistic,
t = (xbar - mu)/(s/sqrt(n))
t = (98.26 - 98.6)/(1.16/sqrt(54))
t = -2.15
e)
P-value Approach
P-value = 0.0361
As P-value < 0.05, reject the null hypothesis.
f)
We reject the null hypothesis, since the p-value is less than the significance level.
g)
There is sufficient evidence to warrant rejection of the claim
that the mean body temperature of a healthy adult is not
98.6∘F.
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