It has long been stated that the mean temperature of humans is
98.698.6degrees°F.
However, two researchers currently involved in the subject thought that the mean temperature of humans is less than
98.698.6degrees°F.
They measured the temperatures of
4444
healthy adults 1 to 4 times daily for 3 days, obtaining
200200
measurements. The sample data resulted in a sample mean of
98.398.3degrees°F
and a sample standard deviation of
0.90.9degrees°F.
Use the P-value approach to conduct a hypothesis test to judge whether the mean temperature of humans is less than
98.698.6degrees°F
at the
alphaαequals=0.010.01
level of significance.
State the hypotheses.
Upper H 0H0:
muμ
equals=
98.698.6degrees°F
Upper H 1H1:
muμ
less than<
98.698.6degrees°F
Find the test statistic.
t 0t0equals=nothing
Calculate the P
Should we reject this hypothesis and why?
To Test :-
H0 :- µ = 98.6
H1 :- µ < 98.6
Test Statistic :-
t = ( X̅ - µ ) / (S / √(n) )
t = ( 98.3 - 98.6 ) / ( 0.9 / √(44) )
t = -2.2111
P - value = P ( t > 2.2111 ) = 0.0162 ( From t table
)
Decision based on P value
Reject null hypothesis if P value < α = 0.01 level of
significance
P - value = 0.0162 > 0.01, hence we fail to reject null
hypothesis
Conclusion :- Fail to reject null hypothesis
No, since P value is greater than levle of signifiance, we should not reject null hypothesis.
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