a. The following null and alternative hypotheses need to be tested:
"H_0:\\mu\\leq400"
"H_1:\\mu>400"
This corresponds to a right-tailed test, for which a t-test for one mean, with unknown population standard deviation will be used.
b. Based on the information provided, the significance level is "\\alpha=0.05," and the number of degrees of freedom is "df=25-1=24." The critical value for a right-tailed test is "t_c=1.710882"
c. The rejection region for this right-tailed test is "R=\\{t:t>1.710882\\}."
The t-statistic is computed as follows:
Since it is observed that "t=2.5>1.710882=t_c," it is then concluded that the null hypothesis is rejected.
Therefore, there is enough evidence to claim that the population mean "\\mu" is greater than 400, at the 0.05 significance level.
d. Using the P-value approach: The p-value is "p=0.009827," and since "p=0.009827<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 400, at the 0.05 significance level.
e. There is enough evidence to claim that the population mean "\\mu" is greater than GHc400, at the 0.05 significance level.
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