You believe the population is normally distributed and you know the standard deviation is o = 11.9 You obtain a sample mean of M = 52.1 for a sample of size n = = 74. 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... O less than (or equal to) a O greater than a This test statistic leads to a decision to... reject the null O accept the null O fail to reject the null As such, the final conclusion is that... O There is sufficient evidence to warrant rejection of the claim that the population mean is less than 54 6

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As such, the final conclusion is that...

- There is sufficient evidence to warrant rejection of the claim that the population mean is less than 54.6.
- There is not sufficient evidence to warrant rejection of the claim that the population mean is less than 54.6.
- The sample data support the claim that the population mean is less than 54.6.
- There is not sufficient sample evidence to support the claim that the population mean is less than 54.6.
Transcribed Image Text:As such, the final conclusion is that... - There is sufficient evidence to warrant rejection of the claim that the population mean is less than 54.6. - There is not sufficient evidence to warrant rejection of the claim that the population mean is less than 54.6. - The sample data support the claim that the population mean is less than 54.6. - There is not sufficient sample evidence to support the claim that the population mean is less than 54.6.
### Hypothesis Testing

#### Null and Alternative Hypotheses
- **Null Hypothesis (H₀):** μ = 54.6
- **Alternative Hypothesis (Hₐ):** μ < 54.6

#### Given Data
You believe the population is normally distributed, and you know the standard deviation is σ = 11.9. You obtain a sample mean of M = 52.1 for a sample of size n = 74.

#### Calculate the Test Statistic
- **Formula:** Use the Z-test for means since the population standard deviation is known.

\[ Z = \frac{(M - μ)}{(\frac{σ}{\sqrt{n}})} \]

\[ Z = \frac{(52.1 - 54.6)}{(\frac{11.9}{\sqrt{74}})} \]

- **Test Statistic**: [Calculate the above expression to three decimal places and fill in here]

#### Determine the P-value
- **P-value calculation:** Use the Z-table or statistical software to determine the P-value for the calculated Z score.
- **P-value:** [Report the P-value accurate to four decimal places]

#### Comparison with Significance Level (α)
- Is the p-value less than or equal to or greater than α?

#### Decision
- **Options:**
  - Reject the null hypothesis
  - Accept the null hypothesis
  - Fail to reject the null hypothesis

#### Conclusion
- **If there is sufficient evidence** to warrant rejection of the claim that the population mean is less than 54.6, conclude accordingly.
Transcribed Image Text:### Hypothesis Testing #### Null and Alternative Hypotheses - **Null Hypothesis (H₀):** μ = 54.6 - **Alternative Hypothesis (Hₐ):** μ < 54.6 #### Given Data You believe the population is normally distributed, and you know the standard deviation is σ = 11.9. You obtain a sample mean of M = 52.1 for a sample of size n = 74. #### Calculate the Test Statistic - **Formula:** Use the Z-test for means since the population standard deviation is known. \[ Z = \frac{(M - μ)}{(\frac{σ}{\sqrt{n}})} \] \[ Z = \frac{(52.1 - 54.6)}{(\frac{11.9}{\sqrt{74}})} \] - **Test Statistic**: [Calculate the above expression to three decimal places and fill in here] #### Determine the P-value - **P-value calculation:** Use the Z-table or statistical software to determine the P-value for the calculated Z score. - **P-value:** [Report the P-value accurate to four decimal places] #### Comparison with Significance Level (α) - Is the p-value less than or equal to or greater than α? #### Decision - **Options:** - Reject the null hypothesis - Accept the null hypothesis - Fail to reject the null hypothesis #### Conclusion - **If there is sufficient evidence** to warrant rejection of the claim that the population mean is less than 54.6, conclude accordingly.
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