You wish to test the following claim (Ha) at a significance level of a = 0.01. H.:µ = 73.7 Ha:µ + 73.7 You believe the population is normally distributed, but you do not know the standard deviation. Your sample has: size: n = 54 mean: M = 65.8 standard deviation: SD = 20.1. What is the test statistic for this sample? (Round the answer accurate to 3 decimal places.) test statistic: t = What is the P-value for this sample? (Round the answer accurate to 3 decimal places.) P-value = The P-value is... less than (or equal to) a greater than a This leads to a decision to... O reject the null accept the null O fail to reject the null So, the final conclusion is that... O The data do not support the claim of the alternative hypothesis that the population mean is not equal to 73.7. O The sample data support the claim of the alternative hypothesis that the population mean is not equal to 73.7.

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**Testing Population Mean with Unknown Standard Deviation**

This page explains how to test a population mean when the standard deviation is unknown using the t-test. We will use the given data to determine the test statistic and the P-value, then make a decision regarding the null hypothesis.

### Hypotheses and Significance Level

You wish to test the following hypothesis at a significance level of α = 0.01:
\[ H_0: \mu = 73.7 \]
\[ H_a: \mu \neq 73.7 \]

### Sample Information

The population is assumed to be normally distributed, but the standard deviation is unknown. Your sample has the following characteristics:
- **Sample size** (\(n\)): 54
- **Sample mean** (\(\bar{M}\)): 65.8
- **Sample standard deviation** (\(SD\)): 20.1

### Test Statistic Calculation

What is the test statistic for this sample? (Round the answer to 3 decimal places.)

\[ \text{test statistic: } t = \_\_\_\_\_ \]

### P-value Calculation

What is the P-value for this sample? (Round the answer to 3 decimal places.)

\[ \text{P-value: } \_\_\_\_\_ \]
The P-value is:
- ○ less than (or equal to) α
- ○ greater than α

### Decision

Based on the comparison between the P-value and α, decide:

- ○ reject the null
- ○ accept the null
- ○ fail to reject the null

### Conclusion

So, the final conclusion is:

- ○ The data do **not** support the claim of the alternative hypothesis that the population mean is not equal to 73.7.
- ○ The sample data **support** the claim of the alternative hypothesis that the population mean is not equal to 73.7.

By completing the steps above, you will be able to determine if there is enough evidence to reject the null hypothesis in favor of the alternative hypothesis, based on your sample data.
Transcribed Image Text:**Testing Population Mean with Unknown Standard Deviation** This page explains how to test a population mean when the standard deviation is unknown using the t-test. We will use the given data to determine the test statistic and the P-value, then make a decision regarding the null hypothesis. ### Hypotheses and Significance Level You wish to test the following hypothesis at a significance level of α = 0.01: \[ H_0: \mu = 73.7 \] \[ H_a: \mu \neq 73.7 \] ### Sample Information The population is assumed to be normally distributed, but the standard deviation is unknown. Your sample has the following characteristics: - **Sample size** (\(n\)): 54 - **Sample mean** (\(\bar{M}\)): 65.8 - **Sample standard deviation** (\(SD\)): 20.1 ### Test Statistic Calculation What is the test statistic for this sample? (Round the answer to 3 decimal places.) \[ \text{test statistic: } t = \_\_\_\_\_ \] ### P-value Calculation What is the P-value for this sample? (Round the answer to 3 decimal places.) \[ \text{P-value: } \_\_\_\_\_ \] The P-value is: - ○ less than (or equal to) α - ○ greater than α ### Decision Based on the comparison between the P-value and α, decide: - ○ reject the null - ○ accept the null - ○ fail to reject the null ### Conclusion So, the final conclusion is: - ○ The data do **not** support the claim of the alternative hypothesis that the population mean is not equal to 73.7. - ○ The sample data **support** the claim of the alternative hypothesis that the population mean is not equal to 73.7. By completing the steps above, you will be able to determine if there is enough evidence to reject the null hypothesis in favor of the alternative hypothesis, based on your sample data.
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