wish to test the following claim \( \left(H_{a}\right) \) at a significance level of \( \alpha=0.002 \). \[ \begin{array}{l} H_{o}: \mu_{1}=\mu_{2} \\ H_{a}: \mu_{1} \neq \mu_{2} \end{array} \] believe both populations are normally distributed, but you do not know the standard deviations for ther. And you have no reason to believe the variances of the two populations are equal You obtain a imple of size \( n_{1}=21 \) with a mean of \( \bar{x}_{1}=68.6 \) and a standard deviation of \( s_{1}=14.1 \) from the first ppulation. You obtain a sample of size \( n_{2}=26 \) with a mean of \( \bar{x}_{2}=59.8 \) and a standard deviation of \( =8.7 \) from the second population. a. What is the test statistic for this sample? test statistic \( = \) \( \square \) Round to 4 decimal places. b. What is the p-value for this sample? p -value = \( \square \) Round to 4 decimal places. c. The p-value is... less than (or equal to) \( \alpha \) greater than \( \alpha \) d. This test statistic leads to a decision to... reject the null accept the null fail to reject the null e. 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
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- Sample 1: \( n_1 = 21 \), \( \bar{x}_1 = 68.6 \), \( s_1 = 14.1 \) - Sample 2: \( n_2 = 26 \), \( \bar{x}_2 = 59.8 \), \( s_2 = 8.7 \) - Significance level: \( \alpha = 0.002 \) Show more…
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You wish to test the following claim (Ha) at a significance level of α = 0.005. Ho: μ1 = μ2 Ha: μ1 < μ2. You believe both populations are normally distributed, but you do not know the standard deviations for either. And you have no reason to believe the variances of the two populations are equal. You obtain a sample of size n1 = 28 with a mean of x̄1 = 72.7 and a standard deviation of s1 = 17.8 from the first population. You obtain a sample of size n2 = 14 with a mean of x̄2 = 82.9 and a standard deviation of s2 = 6.3 from the second population. What is the test statistic for this sample? Test statistic = Round to 4 decimal places. What is the p-value for this sample? P-value = Round to 4 decimal places. 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 first population mean is less than the second population mean. There is not sufficient evidence to warrant rejection of the claim that the first population mean is less than the second population mean. The sample data support the claim that the first population mean is less than the second population mean. There is not sufficient sample evidence to support the claim that the first population mean is less than the second population mean.
Sri K.
You wish to test the following claim (Ha) at a significance level of α=0.001. Ho: μ1 = μ2 Ha: μ1 > μ2 You believe both populations are normally distributed, but you do not know the standard deviations for either. And you have no reason to believe the variances of the two populations are equal. You obtain a sample of size n1 = 11 with a mean of x̄1 = 64.8 and a standard deviation of s1 = 11.9 from the first population. You obtain a sample of size n2 = 17 with a mean of x̄2 = 59.4 and a standard deviation of s2 = 11.4 from the second population. What is the test statistic for this sample? Test statistic = Round to 3 decimal places. What is the p-value for this sample? For this calculation, use [insert calculation method]. P-value = Use Technology. Round to 4 decimal places. 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 first population mean is greater than the second population mean. There is not sufficient evidence to warrant rejection of the claim that the first population mean is greater than the second population mean. The sample data support the claim that the first population mean is greater than the second population mean. There is not sufficient sample evidence to support the claim that the first population mean is greater than the second population mean.
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