1. A researcher estimates that the average height of the buildings of 30 or more stories in a large city is at least 700 feet. A random sample of 10 buildings is selected, and the heights in feet are shown. At = 0.025, is there enough evidence to reject the claim? 485 511 841 725 615 520 535 635 616 582
"+520 +535 +635 +616+ 582)=606.5"
"s^2=\\dfrac{\\sum_i(x_i-\\bar{x})^2}{n-1}=\\dfrac{1}{10-1}((485-606.5)^2"
"+(511-606.5)^2+(841-606.5)^2"
"+(725-606.5)^2+(615-606.5)^2"
"+(520-606.5)^2+(535-606.5)^2"
"+(635-606.5)^2+(616-606.5)^2"
"+(582-606.5)^2)=\\dfrac{107084.5}{9}"
"s=\\sqrt{s^2}=\\sqrt{\\dfrac{107084.5}{9}}\\approx109.08"
The parameter is average content of fruit concentrate per bottle.
The following null and alternative hypotheses need to be tested:
"H_0:\\mu\\ge700"
"H_1:\\mu<700"
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 = 0.025," "df=n-1=9" and the critical value for a left-tailed test is "t_c =-2.262156."
The rejection region for this left-tailed test is "R = \\{t:t<-2.262156\\}."
The t-statistic is computed as follows:
Since it is observed that "t=-2.7106<-2.262156=t_c," it is then concluded that the null hypothesis is rejected.
Using the P-value approach:
The p-value for left-tailed, "df=9" degrees of freedom, "t=-2.7106" is "p=0.011987," and since "p=0.011987<0.025=\\alpha," it is concluded that the null hypothesis is rejected.
Therefore, there is enough evidence to claim that the population mean "\\mu"
is less than 700, at the "\\alpha = 0.025" significance level.
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