# Homework 2-16 - Therefore we conclude there is not enough...

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The test statistic is -1.00 and the p-value is .3173, a figure that does not allow us to reject the null hypothesis. Because we were not able to reject the null hypothesis we say that there is not enough statistical evidence to infer the alternative hypothesis is true. Johnny Stromp #010442335

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The test statistic is .60 and the p-value is .2743, a figure that does not allow us to reject the null hypothesis. Because we were not able to reject the null hypothesis we say that there is not enough statistical evidence to infer the alternative hypothesis is true.
The test statistic is -1.75 and the p-value is .0401, a figure that allows us to reject the null hypothesis. Because we are able to reject the null hypothesis we say that there is enough statistical evidence to infer the alternative hypothesis is true.

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The test statistic is 0 and the p-value is equal to .5, a figure that does not allow us to reject the null hypothesis.

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Unformatted text preview: Therefore we conclude there is not enough statistical significance to infer the alternative hypothesis is true a. p value = .1151 b. p value = .0228 c. p value = .0000 d. As the sample size increases the p-value decreases. a. p value = .2743 b. p value = .1587 c. p value = .0013 d. As the standard deviation decreases the p-value decreases as well. a. p value = .3174 b. p value = .0456 c. p value = .0026 d. As the value of the sample mean increases the p-value decreases. a. p value = .2113 b. p value = .3768 c. p value = .5762 d. As the sample size decreases the p-value increases. a. p value = .0000 b. p value = .0228 c. p value = .1587 d.As the standard deviation increases the p-value increases as well. a. p value = .0013 b. p value = .0228 c. p value = .1587 d. As the sample mean decreases the p-value increases....
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## This note was uploaded on 05/05/2011 for the course WCOB 1033 taught by Professor Jensen during the Spring '10 term at University of Arkansas for Medical Sciences.

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Homework 2-16 - Therefore we conclude there is not enough...

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