Last year the employees of the city health department donated an average of $ 8 to the rescue squad. Test the hypothesis at the 0.01 level of significance that the average contribution this year is still $ 8 if a random sample of 35 employees showed an average donation of $ 8.90 with a standard deviation of $ 1.75.
The following null and alternative hypotheses need to be tested:
"H_0:\\mu=8"
"H_1:\\mu\\not=8"
This corresponds to a two-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 = 0.01," "df=n-1=34" degrees of freedom, and the critical value for a two-tailed test is "t_c=2.728394."
The rejection region for this two-tailed test is "R = \\{t: |t| > 2.728394\\}."
The t-statistic is computed as follows:
Since it is observed that "|t| = 3.042555 > 2.728394=t_c ," it is then concluded that the null hypothesis is rejected.
Using the P-value approach:
The p-value for two-tailed, "df=34" degrees of freedom, "t=3.042555," is "p=0.0045," and since "p=0.0045<0.01=\\alpha," it is concluded that the null hypothesis is rejected.
Therefore, there is enough evidence to claim that the population mean "\\mu" is different than 8, at the "\\alpha = 0.01" significance level.
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