Identify the critical value of each given problem. Find the rejection region and sketch the curve on a separate sheet of paper.
“According to the radio announcer, the average price of kilogram of pork liempo is more than ₱210.00. However, a sample of 15 prices randomly collected from different markets showed an average of ₱215.00 and standard deviation of ₱9.00. Using 0.05 level of significance, is there sufficient evidence to conclude that the average price of pork liempo is more than ₱210.00?”
The following null and alternative hypotheses need to be tested:
"H_0:\\mu\\le210"
"H_1:\\mu>210"
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=14" and the critical value for a right-tailed test is "t_c = 1.76131."
The rejection region for this right-tailed test is "R = \\{t:t> 1.76131\\}."
The t-statistic is computed as follows:
Since it is observed that "t=2.1517> 1.76131=t_c," it is then concluded that the null hypothesis is rejected.
Using the P-value approach:
The p-value for right-tailed, "df=14" degrees of freedom, "t=2.1517" is "p= 0.02468," and since "p= 0.02468<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 210, at the "\\alpha = 0.05" significance level.
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