Ho:μ = 64.2 Ha:μ < 64.2 ou believe the population is normally distributed, but you do not know the standard deviation. You obtain sample of size n = 12 with mean M = 45.9 and a standard deviation of SD = 17.1. What is the test statistic for this sample? (Report answer accurate to three decimal places.) est statistic = What is the p-value for this sample? (Report answer accurate to four decimal places.) -value = he p-value is... O less than (or equal to) a greater than a his test statistic leads to a decision to... O reject the null accept the null fail to reject the null s such, the final conclusion is that... O There is sufficient evidence to warrant rejection of the claim that the population mean is less than 64.2. O There is not sufficient evidence to warrant rejection of the claim that the population mean is less than 64.2.

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### Hypothesis Testing: One-Sample t-Test

#### Test Overview
You wish to test the following claim (\( H_a \)) at a significance level of \( \alpha = 0.10 \):

- **Null Hypothesis (\( H_0 \))**: \( \mu = 64.2 \)  
- **Alternative Hypothesis (\( H_a \))**: \( \mu < 64.2 \)

You believe the population is normally distributed, but you do not know the standard deviation. You obtain a sample of size \( n = 12 \) with mean \( M = 45.9 \) and a standard deviation of \( SD = 17.1 \).

#### Test Statistic Calculation
What is the test statistic for this sample? (Report the answer accurate to three decimal places.)
\[ \text{test statistic} = \_\_\_ \]

#### p-Value Calculation
What is the p-value for this sample? (Report the answer accurate to four decimal places.)
\[ \text{p-value} = \_\_\_ \]

#### Decision Criteria
The p-value is...

- \( \circ \) less than (or equal to) \( \alpha \)
- \( \circ \) greater than \( \alpha \)

This test statistic leads to a decision to...

- \( \circ \) reject the null
- \( \circ \) accept the null
- \( \circ \) fail to reject the null

#### Conclusion
As such, the final conclusion is that...

- \( \circ \) There is sufficient evidence to warrant rejection of the claim that the population mean is less than 64.2.
- \( \circ \) There is not sufficient evidence to warrant rejection of the claim that the population mean is less than 64.2.
- \( \circ \) The sample data support the claim that the population mean is less than 64.2.
- \( \circ \) There is not sufficient sample evidence to support the claim that the population mean is less than 64.2.
Transcribed Image Text:### Hypothesis Testing: One-Sample t-Test #### Test Overview You wish to test the following claim (\( H_a \)) at a significance level of \( \alpha = 0.10 \): - **Null Hypothesis (\( H_0 \))**: \( \mu = 64.2 \) - **Alternative Hypothesis (\( H_a \))**: \( \mu < 64.2 \) You believe the population is normally distributed, but you do not know the standard deviation. You obtain a sample of size \( n = 12 \) with mean \( M = 45.9 \) and a standard deviation of \( SD = 17.1 \). #### Test Statistic Calculation What is the test statistic for this sample? (Report the answer accurate to three decimal places.) \[ \text{test statistic} = \_\_\_ \] #### p-Value Calculation What is the p-value for this sample? (Report the answer accurate to four decimal places.) \[ \text{p-value} = \_\_\_ \] #### Decision Criteria The p-value is... - \( \circ \) less than (or equal to) \( \alpha \) - \( \circ \) greater than \( \alpha \) This test statistic leads to a decision to... - \( \circ \) reject the null - \( \circ \) accept the null - \( \circ \) fail to reject the null #### Conclusion As such, the final conclusion is that... - \( \circ \) There is sufficient evidence to warrant rejection of the claim that the population mean is less than 64.2. - \( \circ \) There is not sufficient evidence to warrant rejection of the claim that the population mean is less than 64.2. - \( \circ \) The sample data support the claim that the population mean is less than 64.2. - \( \circ \) There is not sufficient sample evidence to support the claim that the population mean is less than 64.2.
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