1. For a sample of 35 items from a population for which the standard deviation is σ= 20.5 , the sample mean is 458.0. At the 0.05 level of significance, test H0: μ= 450 versus H1: μ> 450 . Determine and interpret the p-value for the test.
The following null and alternative hypotheses need to be tested:
"H_0:\\mu=450"
"H_1:\\mu>450"
This corresponds to a right-tailed test, for which a z-test for one mean, with known population standard deviation will be used.
Based on the information provided, the significance level is "\\alpha = 0.05," and the critical value for a right-tailed test is "z_c = 1.6449."
The rejection region for this right-tailed test is "R = \\{z: z > 1.6449\\}."
The z-statistic is computed as follows:
Using the P-value approach:
The p-value is "p=P(Z>2.308714)=0.010480," and since "p=0.010480<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 "450," at the "\\alpha = 0.05" significance level.
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