What is the p-value for this sample? (Report answer accurate to 4 decimal places.) p-value = The p-value is... ? less than (or equal to) ? ? greater than ? This test statistic leads to a decision to... ? reject the null ? accept the null ? fail to reject the null As such, the final conclusion is that... ? There is sufficient evidence to warrant rejection of the claim that the mean difference of post-test from pre-test is less than 0. ? There is not sufficient evidence to warrant rejection of the claim that the mean difference of post-test from pre-test is less than 0. ? The sample data support the claim that the mean difference of post-test from pre-test is less than 0. ? There is not sufficient sample evidence to support the claim that the mean difference of post-test from pre-test is less than 0. Question Help: Video Post to forum Submit Question
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1) You wish to test the following claim (HaHa) at a significance level of α=0.005α=0.005. For the context of this problem, one data set represents a pre-test and the other data set represents a post-test. Ho:μd=0Ho:μd=0 Ha:μdā 0Ha:μdā 0 You believe the population of difference scores is normally distributed, but you do not know the standard deviation. You obtain pre-test and post-test samples for n=178n=178 subjects. The average difference (post - pre) is ĀÆd=7.3dĀÆ=7.3 with a standard deviation of the differences of sd=42.4sd=42.4. What is the test statistic for this sample? test statistic = Round to 4 decimal places. What is the p-value for this sample? Round to 4 decimal places. p-value = The p-value is... less than (or equal to) αα greater than αα This test statistic leads to a decision to... reject the null accept the null fail to reject the null As such, the final conclusion is that... There is sufficient evidence to warrant rejection of the claim that the mean difference of post-test from pre-test is not equal to 0. There is not sufficient evidence to warrant rejection of the claim that the mean difference of post-test from pre-test is not equal to 0. The sample data support the claim that the mean difference of post-test from pre-test is not equal to 0. There is not sufficient sample evidence to support the claim that the mean difference of post-test from pre-test is not equal to 0. 2) You wish to test the following claim (HaHa) at a significance level of α=0.10α=0.10. For the context of this problem, μd=PostTestāPreTestμd=PostTest-PreTest. Each row gives the scores of a single individual. Ho:μd=0Ho:μd=0 Ha:μd<0Ha:μd<0 You believe the population of difference scores is normally distributed, but you do not know the standard deviation. You obtain the following sample of data: pre-test post-test 57.2 60.1 45.5 30.1 52.9 70.5 45.3 104.9 42.9 41.8 48.1 11.6 65.3 23.8 46.5 51.5 47.6 20.3 58.8 40.8 41.1 -30.1 39.6 10.5 56.9 35.6 52.3 9.7 37.5 43.6 55.1 74.3 42.3 27.7 55.1 51.1 54.6 -23.2 59.9 62.8 What is the test statistic for this sample? test statistic = (Report answer accurate to 4 decimal places.) What is the p-value for this sample? p-value = (Report answer accurate to 4 decimal places.) The p-value is... less than (or equal to) αα greater than αα This test statistic leads to a decision to... reject the null accept the null fail to reject the null As such, the final conclusion is that... There is sufficient evidence to warrant rejection of the claim that the mean difference of post-test from pre-test is less than 0. There is not sufficient evidence to warrant rejection of the claim that the mean difference of post-test from pre-test is less than 0. The sample data support the claim that the mean difference of post-test from pre-test is less than 0. There is not sufficient sample evidence to support the claim that the mean difference of post-test from pre-test is less than 0.
Madhur L.
What is the test statistic for this sample? (Report answer accurate to three decimal places) Test statistic. What is the P-value for this sample? (Report answer accurate to four decimal places:) P-value. The p-value is less than (or equal to) and greater than. This test statistic leads to the decision to reject the null, accept the null, or fail to reject the null. As such, the final conclusion is that there is sufficient evidence to warrant rejection of the claim that the population mean is not equal to 54.5. There is not sufficient evidence to warrant rejection of the claim that the population mean is not equal to 54.5. The sample data support the claim that the population mean is not equal to 54.5. There is not sufficient sample evidence to support the claim that the population mean is not equal to 54.5.
Sri K.
You wish to test the following claim ( H a ) at a significance level of α = 0.10 . For the context of this problem, μ d = μ 2 ā μ 1 where the first data set represents a pre-test and the second data set represents a post-test. H o : μ d = 0 H a : μ d < 0 You believe the population of difference scores is normally distributed, but you do not know the standard deviation. You obtain pre-test and post-test samples for n = 15 subjects. The average difference (post - pre) is ĀÆ d = ā 15.1 with a standard deviation of the differences of s d = 41.8 . What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = What is the p-value for this sample? (Report answer accurate to four decimal places.) p-value = The p-value is... less than (or equal to) α greater than α This test statistic leads to a decision to... reject the null accept the null fail to reject the null As such, the final conclusion is that... There is sufficient evidence to warrant rejection of the claim that the mean difference of post-test from pre-test is less than 0. There is not sufficient evidence to warrant rejection of the claim that the mean difference of post-test from pre-test is less than 0. The sample data support the claim that the mean difference of post-test from pre-test is less than 0. There is not sufficient sample evidence to support the claim that the mean difference of post-test from pre-test is less than 0
David N.
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