To apply for the PGA Associate Program, an applicant must pass a Playing Ability Test. Past data show the total strokes shot by applicants are normally distributed with a mean of 154.2 strokes and a standard deviation of 3.6 strokes. (a) What is the likelihood a random applicant shoots between 148 strokes and 152 strokes? (b) Applicants who shoot in the lowest 2.5% of stroke totals are given preferential status for acceptance into the program. What is the cutoff to qualify for this status?

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Question 9.1 - Sampling Distribution for the Mean Please solve the problem with simple probability rules
**Exercise 9. Predicting Performance for PGA Associate Program Admission**

To apply for the PGA Associate Program, an applicant must pass a Playing Ability Test. Statistical data from previous applicants indicates that the total strokes shot by applicants follow a normal distribution, with a mean of 154.2 strokes and a standard deviation of 3.6 strokes. 

### Problem Breakdown:

(a) **Probability Calculation**: 
   - **Question**: What is the likelihood that a random applicant shoots between 148 strokes and 152 strokes?
   - **Objective**: To determine the probability within a specified range using the properties of the normal distribution.

(b) **Cutoff Calculation for Preferential Status**: 
   - **Question**: Applicants who shoot in the lowest 2.5% of stroke totals are given preferential status for acceptance into the program. What is the cutoff to qualify for this preferential status?
   - **Objective**: To identify the score below which 2.5% of applicant strokes fall, which will require using z-scores and the characteristics of the normal distribution.

### Detailed Explanation and Calculation Steps:

1. **Normal Distribution Parameters**: 
   - Mean (μ) = 154.2 strokes
   - Standard Deviation (σ) = 3.6 strokes

2. **Calculating Probability (Part a)**:
   - To find the probability that a score lies between 148 and 152, convert these values to their corresponding z-scores:
     - \( Z = \frac{X - \mu}{\sigma} \)
   - Compute the z-scores for X = 148 and X = 152.
   - Use standard normal distribution tables or software to find the probabilities corresponding to these z-scores.
   - Subtract the cumulative probability up to 148 strokes from the cumulative probability up to 152 strokes to find the desired probability.

3. **Determining Cutoff for Top 2.5% (Part b)**:
   - The bottom 2.5% in a normal distribution corresponds to a z-score approximately at -1.96.
   - Use the z-score formula to convert this into the actual stroke count:
     - \( X = \mu + (Z \times \sigma) \)
   - Plug in the mean, standard deviation, and z-score to calculate the cutoff score.

### Hypothetical Example Calculations:

1. **Z-Score for 148 strokes**:
Transcribed Image Text:**Exercise 9. Predicting Performance for PGA Associate Program Admission** To apply for the PGA Associate Program, an applicant must pass a Playing Ability Test. Statistical data from previous applicants indicates that the total strokes shot by applicants follow a normal distribution, with a mean of 154.2 strokes and a standard deviation of 3.6 strokes. ### Problem Breakdown: (a) **Probability Calculation**: - **Question**: What is the likelihood that a random applicant shoots between 148 strokes and 152 strokes? - **Objective**: To determine the probability within a specified range using the properties of the normal distribution. (b) **Cutoff Calculation for Preferential Status**: - **Question**: Applicants who shoot in the lowest 2.5% of stroke totals are given preferential status for acceptance into the program. What is the cutoff to qualify for this preferential status? - **Objective**: To identify the score below which 2.5% of applicant strokes fall, which will require using z-scores and the characteristics of the normal distribution. ### Detailed Explanation and Calculation Steps: 1. **Normal Distribution Parameters**: - Mean (μ) = 154.2 strokes - Standard Deviation (σ) = 3.6 strokes 2. **Calculating Probability (Part a)**: - To find the probability that a score lies between 148 and 152, convert these values to their corresponding z-scores: - \( Z = \frac{X - \mu}{\sigma} \) - Compute the z-scores for X = 148 and X = 152. - Use standard normal distribution tables or software to find the probabilities corresponding to these z-scores. - Subtract the cumulative probability up to 148 strokes from the cumulative probability up to 152 strokes to find the desired probability. 3. **Determining Cutoff for Top 2.5% (Part b)**: - The bottom 2.5% in a normal distribution corresponds to a z-score approximately at -1.96. - Use the z-score formula to convert this into the actual stroke count: - \( X = \mu + (Z \times \sigma) \) - Plug in the mean, standard deviation, and z-score to calculate the cutoff score. ### Hypothetical Example Calculations: 1. **Z-Score for 148 strokes**:
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