A random sample of ten measurements were obtained from a normally
distributed population wit mean μ = 8.5. The sample values are x̄= 6.2 and s=4
a. Test the null hypothesis that the mean of the population is 8.5 against the
alternative hypothesis, μ <8.5. Use α =0.05.
The following null and alternative hypotheses need to be tested:
"H_0:\\mu=8.5"
"H_1:\\mu<8.5"
This corresponds to a left-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=10-1=9," and the critical value for a left-tailed test is "t_c = -1.833113."
The rejection region for this left-tailed test is "R = \\{t: t < -1.833113\\}."
The t-statistic is computed as follows:
Since it is observed that "t = -1.8183 \\ge-1.833113= t_c ," it is then concluded that the null hypothesis is not rejected.
Using the P-value approach:
The p-value for left-tailed, "df=9" degrees of freedom, "t=-1.8183," is "p = 0.051189," and since "p = 0.051189 \\ge 0.05=\\alpha," it is concluded that the null hypothesis is not rejected.
Therefore, there is not enough evidence to claim that the population mean "\\mu"
is less than 8.5, at the "\\alpha = 0.05" significance level.
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