You wish to test the following claim (Ha) at a significance level of a = 0.02. H:H1 = 12 Hamit M2 You believe both popul

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answerhappygod
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You wish to test the following claim (Ha) at a significance level of a = 0.02. H:H1 = 12 Hamit M2 You believe both popul

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You Wish To Test The Following Claim Ha At A Significance Level Of A 0 02 H H1 12 Hamit M2 You Believe Both Popul 1
You Wish To Test The Following Claim Ha At A Significance Level Of A 0 02 H H1 12 Hamit M2 You Believe Both Popul 1 (45.39 KiB) Viewed 16 times
You wish to test the following claim (Ha) at a significance level of a = 0.02. H:H1 = 12 Hamit M2 You believe both populations are normally distributed, but you do not know the standard deviations for either. However, you also have no reason to believe the variances of the two populations are not equal. You obtain the following two samples of data. Sample #1 Sample #2 86.1 100.6 77.1 67.6 63.1 74.2 67.5 78.1 84.2 66.2 52 86.6 83.2 84.6 92.1 48.8 80.2 70.4 64.1 90.6 96.2 67.9 70.4 48.1 72.8 78.5 82.8 80.8 81.1 78.1 57.8 86.4 48.6 73 What is the critical value for this test? For this calculation, use the degrees of freedom reported from the technology you are using. (Report answer accurate to three decimal places.) critical value = + What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic The test statistic is... O in the critical region O not in the critical region This test statistic leads to a decision to... O reject the null O accept the null O fail to reject the null As such, the final conclusion is that... There is sufficient evidence to warrant rejection of the claim that the first population mean is not equal to the second population mean. There is not sufficient evidence to warrant rejection of the claim that the first population mean is not equal to the second population mean. The sample data support the claim that the first population mean is not equal to the second population mean. There is not sufficient sample evidence to support the claim that the first population mean is not equal to the second population mean.
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