Don, a canteen owner claims that the average meal cost of his usual customer is 190 pesos. In order to test his claim , don took a random sample of 25 customers and found out that the meal cost is 210 with a standard deviation of 30 pesos. Test the hypothesis at 0.01 level of significance
The following null and alternative hypotheses need to be tested:
"H_0:\\mu=190"
"H_1:\\mu\\not=190"
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=24" and the critical value for a two-tailed test is "t_c =2.79694."
The rejection region for this two-tailed test is "R = \\{t:|t|>2.79694\\}."
The t-statistic is computed as follows:
Since it is observed that "|t|=3.333333>2.79694=t_c," it is then concluded that the null hypothesis is rejected.
Using the P-value approach:
The p-value for two-tailed, "df=24" degrees of freedom, "t=3.333333" is "p=0.002776," and since "p=0.002776<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 190, at the "\\alpha = 0.01" significance level.
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