A simple random sample of men who regularly work out at Mitch's Gym is obtained and their resting pulse rates (in beats per minute) are listed below. Use a 0.05 significance level to test the claim that these sample pulse rates come from a population with a mean less than 72 beats per minute (the mean resting pulse rate for men). Use the p-value method of testing hypotheses. 70 50 51 50 59 6149 76 64 68 76 77 Enter the p-value. (Round your answer to nearest thousandth.) When using tables to find a tight range for the p-value, enter one of the boundaries of the interval (not 0 or 1) found using the tables.

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### Hypothesis Testing: Resting Pulse Rates

A simple random sample of men who regularly work out at Mitch's Gym is obtained, and their resting pulse rates (in beats per minute) are listed below. Use a 0.05 significance level to test the claim that these sample pulse rates come from a population with a mean less than 72 beats per minute (the mean resting pulse rate for men). Use the p-value method of testing hypotheses.

#### Sample Data
70, 50, 51, 50, 59, 61, 49, 76, 64, 68, 76, 77

#### Instructions
Enter the p-value. (Round your answer to the nearest thousandth.) When using tables to find a tight range for the p-value, enter one of the boundaries of the interval (not 0 or 1) found using the tables.

#### Table for Hypothesis Testing

1. **Extract Information:**
   - Sample data and parameters.

2. **Original Claim:**
   - The population mean is less than 72 beats per minute.

3. **Hypotheses:**
   - \( H_0 \): \(\mu \geq 72\) (Null hypothesis)
   - \( H_1 \): \(\mu < 72\) (Alternative hypothesis)

4. **Test Statistic:**
   - Calculate the test statistic based on the sample data.

5. **Distribution (Graphically):**
   - Diagram illustrating the normal distribution curve, critical region, and test statistic position.

6. **p-Value:**
   - Compute the p-value associated with the test statistic.

7. **Statistical Conclusion:**
   - Based on the p-value and significance level, make a decision regarding \( H_0 \).

8. **Final Words:**
   - State the conclusion in the context of the original claim.

Use this structured approach to test hypotheses using the p-value method. This helps determine if the evidence supports the claim regarding the mean resting pulse rate.
Transcribed Image Text:### Hypothesis Testing: Resting Pulse Rates A simple random sample of men who regularly work out at Mitch's Gym is obtained, and their resting pulse rates (in beats per minute) are listed below. Use a 0.05 significance level to test the claim that these sample pulse rates come from a population with a mean less than 72 beats per minute (the mean resting pulse rate for men). Use the p-value method of testing hypotheses. #### Sample Data 70, 50, 51, 50, 59, 61, 49, 76, 64, 68, 76, 77 #### Instructions Enter the p-value. (Round your answer to the nearest thousandth.) When using tables to find a tight range for the p-value, enter one of the boundaries of the interval (not 0 or 1) found using the tables. #### Table for Hypothesis Testing 1. **Extract Information:** - Sample data and parameters. 2. **Original Claim:** - The population mean is less than 72 beats per minute. 3. **Hypotheses:** - \( H_0 \): \(\mu \geq 72\) (Null hypothesis) - \( H_1 \): \(\mu < 72\) (Alternative hypothesis) 4. **Test Statistic:** - Calculate the test statistic based on the sample data. 5. **Distribution (Graphically):** - Diagram illustrating the normal distribution curve, critical region, and test statistic position. 6. **p-Value:** - Compute the p-value associated with the test statistic. 7. **Statistical Conclusion:** - Based on the p-value and significance level, make a decision regarding \( H_0 \). 8. **Final Words:** - State the conclusion in the context of the original claim. Use this structured approach to test hypotheses using the p-value method. This helps determine if the evidence supports the claim regarding the mean resting pulse rate.
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