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.
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.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F8224a95b-0603-4473-a99f-3ebcea5bee16%2Fc67911c6-602c-4827-a770-4c89b118126d%2Fzlvqy2_processed.png&w=3840&q=75)
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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