A travel association says the daily lodging cost for a family in the United States is $152. You work for a tourist publication and want to test this claim. You randomly select 10 U.S. families and find out they spent on lodging for one overnight trip as below. At α = 0.02, can you reject the travel association’s claim?
164, 137, 142, 155, 119, 104, 74, 204, 148, 181
Here, we have to use one sample t test for the population mean.
The null and alternative hypotheses are given as below:
Null hypothesis: H0: the daily lodging cost for a family in the United States is $152.
Alternative hypothesis: Ha: the daily lodging cost for a family in the United States is different from $152.
H0: µ = 152 versus Ha: µ ≠ 152
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 = 152
Xbar = 142.8
S = 37.51977257
n = 10
df = n – 1 = 9
α = 0.02
Critical value = - 2.8214 and 2.8214
(by using t-table or excel)
t = (Xbar - µ)/[S/sqrt(n)]
t = (142.8 - 152)/[ 37.51977257/sqrt(10)]
t = -0.7754
P-value = 0.4580
(by using t-table)
P-value > α = 0.02
So, we do not reject the null hypothesis
There is sufficient evidence to conclude that the daily lodging cost for a family in the United States is $152.
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