1. "H_0:\\mu=1"
"H_1:\\mu\\ne1"
"Tc=\\frac{\\bar{X}-\\mu}{\\frac{s}{\\sqrt{n}}}"
"=\\frac{0.86-1}{\\frac{0.32}{\\sqrt{30}}}=-2.4258"
"Cv=t_{{\\frac{\\alpha}{2}},n-1}"
"=t_{0.005,29}=2.756"
Since the absolute test statistic tc=2.4258 is less than the critical value cv =2.756, we fail to reject the null hypothesis and conclude that there is no sufficient evidence to support the claim that the actual mean differs from one.
2. "H_0:\\mu=1"
"H_1:\\mu<1"
"Tc=\\frac{\\bar{X}-\\mu}{\\frac{s}{\\sqrt{n}}}"
"=\\frac{0.86-1}{\\frac{0.32}{\\sqrt{30}}}=-2.4258"
"Cv=t_{{\\alpha},n-1}"
"=t_{0.01,29}=2.462"
Since the absolute test statistic tc=2.4258 is less than the critical value cv =2.462, we fail to reject the null hypothesis and conclude that there is no sufficient evidence to support the claim that the actual mean is less than one.
The computation of the test statistic in part (a) still applies in part (b) since the change in the alternative hypothesis only affects the critical value.
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Dear Esther Gathenya, please use the panel for submitting new questions.
c) The table below shows the hours spent by ten men on a certain task and the units of an item produced. Men A B C D E F G H I J Hours (X) 16 14 15 18 20 15 19 21 12 24 Units produced(Y) 28 24 27 33 31 33 34 36 21 40 Calculate and both the Pearson correlation coefficient and coefficient of determination, interpret both and justify in this case why it would be prudent to rely on the coefficient of determination rather than Pearson in decision making.
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