You wish to test the following claim (H.) at a significance level of a = 0.01. H,:µ = 84.5 Ha:µ + 84.5 You believe the population is normally distributed, but you do not know the standard deviation. You obtain a sample of size n = 66 with mean M = 94.1 and a standard deviation of SD = 19.5. What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = What is the p-value for this sample? (Report answer accurate to four decimal places.) p-value = The p-value is... less than (or equal to) a greater than a 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 population mean is not equal to 84.5. There is not sufficient evidence to warrant rejection of the claim that the population mean is not equal to 84.5. The sample data support the claim that the population mean is not equal to 84.5. There is not sufficient sample evidence to support the claim that the population mean is not equal to

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### Hypothesis Testing: Significance Level and P-Value Calculation

#### Hypothesis Statement
You wish to test the following claim (Ha) at a significance level of α = 0.01.

- \( H_0: \mu = 84.5 \)
- \( H_a: \mu \neq 84.5 \)

#### Given Data
You believe the population is normally distributed, but you do not know the standard deviation. You obtain a sample of size \( n = 66 \) with mean \( M = 94.1 \) and a standard deviation of \( SD = 19.5 \).

#### Calculation of Test Statistic
What is the test statistic for this sample? (Report answer accurate to three decimal places.)

\[ \text{test statistic} = \]

#### Calculation of P-Value
What is the p-value for this sample? (Report answer accurate to four decimal places.)

\[ \text{p-value} = \]

#### P-Value Comparison
The p-value is...
- [ ] less than (or equal to) α
- [ ] greater than α

#### Decision Based on Test Statistic
This test statistic leads to a decision to...
- [ ] reject the null
- [ ] accept the null
- [ ] fail to reject the null

#### Final Conclusion
As such, the final conclusion is that...
- [ ] There is sufficient evidence to warrant rejection of the claim that the population mean is not equal to 84.5.
- [ ] There is not sufficient evidence to warrant rejection of the claim that the population mean is not equal to 84.5.
- [ ] The sample data support the claim that the population mean is not equal to 84.5.
- [ ] There is not sufficient sample evidence to support the claim that the population mean is not equal to 84.5.

This form guides students through the process of hypothesis testing, from stating the hypotheses to calculating the test statistic and p-value, making a decision, and drawing a conclusion based on that decision.
Transcribed Image Text:### Hypothesis Testing: Significance Level and P-Value Calculation #### Hypothesis Statement You wish to test the following claim (Ha) at a significance level of α = 0.01. - \( H_0: \mu = 84.5 \) - \( H_a: \mu \neq 84.5 \) #### Given Data You believe the population is normally distributed, but you do not know the standard deviation. You obtain a sample of size \( n = 66 \) with mean \( M = 94.1 \) and a standard deviation of \( SD = 19.5 \). #### Calculation of Test Statistic What is the test statistic for this sample? (Report answer accurate to three decimal places.) \[ \text{test statistic} = \] #### Calculation of P-Value What is the p-value for this sample? (Report answer accurate to four decimal places.) \[ \text{p-value} = \] #### P-Value Comparison The p-value is... - [ ] less than (or equal to) α - [ ] greater than α #### Decision Based on Test Statistic This test statistic leads to a decision to... - [ ] reject the null - [ ] accept the null - [ ] fail to reject the null #### Final Conclusion As such, the final conclusion is that... - [ ] There is sufficient evidence to warrant rejection of the claim that the population mean is not equal to 84.5. - [ ] There is not sufficient evidence to warrant rejection of the claim that the population mean is not equal to 84.5. - [ ] The sample data support the claim that the population mean is not equal to 84.5. - [ ] There is not sufficient sample evidence to support the claim that the population mean is not equal to 84.5. This form guides students through the process of hypothesis testing, from stating the hypotheses to calculating the test statistic and p-value, making a decision, and drawing a conclusion based on that decision.
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