You wish to test the following claim (H.) at a significance level of a = 0.10. T1 = In1:°H T1 > Irt : "H You obtain a sample of size n1 = 91 with a mean of M1 = 69.1 and a standard deviation of SD = 5.7 from the first population. You obtain a sample of size n2 = 63 with a mean of M2 = 77.4 and a standard deviation of SD2 = 18.7 from the second population. %3D What is the critical value for this test? For this calculation, use the conservative under-estimate for the degrees of freedom as mentioned in the textbook. (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...

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**Hypothesis Testing for Mean Differences**

In this exercise, you are required to test the following claim (\(H_a\)) at a significance level of \(\alpha = 0.10\).

\[
H_0: \mu_1 = \mu_2
\]
\[
H_a: \mu_1 < \mu_2
\]

You obtain a sample size \(n_1 = 91\) with a mean of \(M_1 = 69.1\) and a standard deviation of \(SD_1 = 5.7\) from the first population. You obtain a sample size \(n_2 = 63\) with a mean of \(M_2 = 77.4\) and a standard deviation of \(SD_2 = 18.7\) from the second population.

### Critical Value and Test Statistic Calculation

**1. Critical Value**

To determine the critical value for this test, use the conservative under-estimate for the degrees of freedom, as mentioned in your textbook. Report the answer accurate to three decimal places.

\[
\text{Critical value} = \_\_\_\_\_\_
\]

**2. Test Statistic**

Calculate the test statistic for this sample and report the answer accurate to three decimal places.

\[
\text{Test statistic} = \_\_\_\_\_\_
\]

### Decision Rule

The test statistic is...
- [ ] in the critical region
- [ ] not in the critical region

### Conclusion

Based on the test statistic, make a decision to...

- [ ] reject the null
- [ ] accept the null
- [ ] fail to reject the null

### Final Conclusion

The final conclusion should be interpreted as follows:
- [ ] 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.

By completing the above steps, you will find out whether the hypothesis that the first population mean is less than the second population mean is supported by your sample data.
Transcribed Image Text:**Hypothesis Testing for Mean Differences** In this exercise, you are required to test the following claim (\(H_a\)) at a significance level of \(\alpha = 0.10\). \[ H_0: \mu_1 = \mu_2 \] \[ H_a: \mu_1 < \mu_2 \] You obtain a sample size \(n_1 = 91\) with a mean of \(M_1 = 69.1\) and a standard deviation of \(SD_1 = 5.7\) from the first population. You obtain a sample size \(n_2 = 63\) with a mean of \(M_2 = 77.4\) and a standard deviation of \(SD_2 = 18.7\) from the second population. ### Critical Value and Test Statistic Calculation **1. Critical Value** To determine the critical value for this test, use the conservative under-estimate for the degrees of freedom, as mentioned in your textbook. Report the answer accurate to three decimal places. \[ \text{Critical value} = \_\_\_\_\_\_ \] **2. Test Statistic** Calculate the test statistic for this sample and report the answer accurate to three decimal places. \[ \text{Test statistic} = \_\_\_\_\_\_ \] ### Decision Rule The test statistic is... - [ ] in the critical region - [ ] not in the critical region ### Conclusion Based on the test statistic, make a decision to... - [ ] reject the null - [ ] accept the null - [ ] fail to reject the null ### Final Conclusion The final conclusion should be interpreted as follows: - [ ] 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. By completing the above steps, you will find out whether the hypothesis that the first population mean is less than the second population mean is supported by your sample data.
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