A supermarket boasts that checkout times for customers are never more than 15 minutes. A random sample of 36 costumers reveals a mean checkout time of 17 minutes with a standard deviation of 3 minutes. What can you conclude about the supermarket’s boast at the 0.05 level?
The following null and alternative hypotheses need to be tested:
"H_0:\\mu\\le15"
"H_a:\\mu>15"
This corresponds to a right-tailed test, for which a t-test for one mean, with unknown population standard deviation, using the sample standard deviation, will be used.
Based on the information provided, the significance level is "\\alpha = 0.05," "df=n-1=35" degrees of freedom, and the critical value for a right-tailed test is "t_c = 1.689572."
The rejection region for this right-tailed test is "R = \\{t: t > 1.689572\\}"
The t-statistic is computed as follows:
Since it is observed that "t = 4 >1.689572= t_c," it is then concluded that the null hypothesis is rejected.
Using the P-value approach: The p-value for right-tailed, "df=35" degrees of freedom, "t=4" is "p = 0.000156," and since "p= 0.000156<0.05=\\alpha," it is concluded that the null hypothesis is rejected.
Therefore, there is enough evidence to claim that the population mean "\\mu"
is greater than 15, at the "\\alpha = 0.05" significance level.
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