The National Collegiate Athletic Association (NCAA) measures the Graduation Success Rate (GSR), which is the percentage of eligible athletes who graduate within six years of entering college. According to the NCAA, the GSR for all scholarship athletes in a particular division is 64%. The GSR for all students in this division is 61%. Suppose the NCAA report was based on a sample of 1,000 student-athletes, of which 640 graduated within six years. Is this sufficient information to conclude that the GSR for all scholarship athletes in this division differs from 61%? Carry out the test using a Type I error rate of 0.05. What are the hypotheses for this test? O A. Ho: p 0.61 H₂: p=0.61 O C. Ho: p > 0.61 H₂: p≤0.61 Ⓒ E. Ho: p=0.61 H₂: p<0.61 or z> Calculate the value of the z-statistic for this test. z= (Round to two decimal places as needed.) (...) What is the rejection region? Select the correct choice below and fill in the answer box(es) to complete your choice. (Round to two decimal places as needed.) OA. z< OB. z> OC. z< What is the conclusion of the test? OB. Ho: p=0.61 Ha: p *0.61 O D. Ho: p=0.61 H₂: p > 0.61 O F. Ho: p<0.61 H₂: p=0.61

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**NCAA Graduation Success Rate (GSR) Hypothesis Testing**

The National Collegiate Athletic Association (NCAA) measures the Graduation Success Rate (GSR), which is the percentage of eligible athletes who graduate within six years of entering college. According to the NCAA, the GSR for all scholarship athletes in a particular division is 64%. The GSR for all students in this division is 61%. 

**Problem Statement:**
Suppose the NCAA report was based on a sample of 1,000 student-athletes, of which 640 graduated within six years. The task is to determine if this is sufficient information to conclude that the GSR for all scholarship athletes in this division differs from 61%. The test should be carried out using a Type I error rate of 0.05.

**Hypotheses:**
What are the hypotheses for this test?
- A. \( H_0: p \neq 0.61 \)
         \( H_a: p = 0.61 \)

- B. \( H_0: p = 0.61 \)
         \( H_a: p \neq 0.61 \)

- C. \( H_0: p > 0.61 \)
         \( H_a: p \leq 0.61 \)

- D. \( H_0: p \leq 0.61 \)
         \( H_a: p > 0.61 \)

- E. \( H_0: p = 0.61 \)
         \( H_a: p < 0.61 \)

- F. \( H_0: p < 0.61 \)
         \( H_a: p = 0.61 \)

**Rejection Region:**
What is the rejection region? Select the correct choice below and fill in the answer box(es) to complete your choice. (Round to two decimal places as needed.)

- A. \( z < \) ____
- B. \( z > \) ____
- C. \( z < \) ____  or \( z > \) ____

**Value of the Z-Statistic:**
Calculate the value of the z-statistic for this test.
\[ z = \] (Round to two decimal places as needed.)

**Conclusion:**
What is the conclusion of the test?

**Time Remaining:** 
00:19:12
Transcribed Image Text:**NCAA Graduation Success Rate (GSR) Hypothesis Testing** The National Collegiate Athletic Association (NCAA) measures the Graduation Success Rate (GSR), which is the percentage of eligible athletes who graduate within six years of entering college. According to the NCAA, the GSR for all scholarship athletes in a particular division is 64%. The GSR for all students in this division is 61%. **Problem Statement:** Suppose the NCAA report was based on a sample of 1,000 student-athletes, of which 640 graduated within six years. The task is to determine if this is sufficient information to conclude that the GSR for all scholarship athletes in this division differs from 61%. The test should be carried out using a Type I error rate of 0.05. **Hypotheses:** What are the hypotheses for this test? - A. \( H_0: p \neq 0.61 \) \( H_a: p = 0.61 \) - B. \( H_0: p = 0.61 \) \( H_a: p \neq 0.61 \) - C. \( H_0: p > 0.61 \) \( H_a: p \leq 0.61 \) - D. \( H_0: p \leq 0.61 \) \( H_a: p > 0.61 \) - E. \( H_0: p = 0.61 \) \( H_a: p < 0.61 \) - F. \( H_0: p < 0.61 \) \( H_a: p = 0.61 \) **Rejection Region:** What is the rejection region? Select the correct choice below and fill in the answer box(es) to complete your choice. (Round to two decimal places as needed.) - A. \( z < \) ____ - B. \( z > \) ____ - C. \( z < \) ____ or \( z > \) ____ **Value of the Z-Statistic:** Calculate the value of the z-statistic for this test. \[ z = \] (Round to two decimal places as needed.) **Conclusion:** What is the conclusion of the test? **Time Remaining:** 00:19:12
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