Answer: No
Step-by-step explanation:
Let
be the population mean .
As per given , we have to test the hypothesis.

∵ Alternative hypothesis (
) is right-tailed , so our test is a right-tailed test.
Also, the population standard deviation is unknown to be 0.8 , so we use t-test.
Test statistic:
, where
= Sample mean
= population mean
= sample standard deviation.
n= Sample size
Substitute
n= 100 , we get


By t-distribution, the critical t-value for degree of freedom 99 ( df =n-1) and significance level 0.10 :

Decision : ∵ Calculated -value (-1.71) < Critical value (1.29).
It means we do not reject the null hypothesis.
Conclusion : We do not have sufficient evidence at α = 0.10 significance level to reject the claim that the mean consumption of bottled water by a person in the United States is 28.5 gallons per year