In: Statistics and Probability
A recent study claims that business travelers spend an average of $39 per day on meals. A sample of 15 business travelers found that they had spent an average of $42 per day with a standard deviation of $3.78. If alpha =0.05, what is the claim, should we reject H0 or fail to reject H0, what is the test value, what is the alternate hypothesis?
Solution:
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 business travelers spend an average of $39 per day on meals. (Claim)
Alternative hypothesis: Ha: The business travelers spend an average different than $39 per day on meals.
H0: µ = 39 versus Ha: µ ≠ 39
This is a two tailed test.
Claim is the null hypothesis.
The test statistic formula is given as below:
t = (Xbar - µ)/[S/sqrt(n)]
From given data, we have
µ = 39
Xbar = 42
S = 3.78
n = 15
df = n – 1 = 14
α = 0.05
Critical value = - 2.1448 and 2.1448
(by using t-table or excel)
t = (Xbar - µ)/[S/sqrt(n)]
t = (42 - 39)/[3.78/sqrt(15)]
t = 3.0738
P-value = 0.0083
(by using t-table)
P-value < α = 0.05
So, we reject the null hypothesis
There is not sufficient evidence to conclude that the business travelers spend an average of $39 per day on meals.