A canteen owner claims that the average meal cost of his usual clients is
Php180. In order to test his own claim, he took a random sample of 30
receipts and computed the mean cost of Php210 with a standard deviation of
Php25. Test the hypothesis at 0.01 level of significance. Show all steps
The following null and alternative hypotheses need to be tested:
"H_0:\\mu=180"
"H_1:\\mu\\not=180"
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=29" and the critical value for a two-tailed test is "t_c = 2.756386."
The rejection region for this two-tailed test is "R = \\{t:|t|> 2.756386\\}."
The t-statistic is computed as follows:
Since it is observed that "|t|=6.57267> 2.756386=t_c," it is then concluded that the null hypothesis is rejected.
Using the P-value approach:
The p-value for two-tailed, "df=29" degrees of freedom, "t=6.57267" is "p=0," and since "p=0<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 180, at the "\\alpha = 0.01" significance level.
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