MAK 1. The personal office at a large electronics firm regularly schedules job interviews and maintains records of the interviews. From the past records they have found that the length of a first interview is normally distributed with a mean μ = 34 minutes and a standard deviation o = 7 minutes. What is the probability that the average length of time for nine interviews will be 40 minutes or longer?

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### Example Problem: Probability in Normal Distribution

#### Problem:
The personnel office at a large electronics firm regularly schedules job interviews and maintains records of the interviews. From the past records, they have found that the length of a first interview is normally distributed with:
- Mean (μ) = 34 minutes 
- Standard deviation (σ) = 7 minutes.
 
**Question**: What is the probability that the average length of time for nine interviews will be 40 minutes or longer?

#### Solution Steps:

1. **Identify the given variables**:
   - Mean (μ) = 34 minutes
   - Standard deviation (σ) = 7 minutes
   - Sample size (n) = 9

2. **Calculate the standard error of the mean (SEM)** using the formula:
   \[ SEM = \frac{\sigma}{\sqrt{n}} \]

3. **Plug in the values**:
   \[ SEM = \frac{7}{\sqrt{9}} = \frac{7}{3} \approx 2.33 \]

4. **Calculate the Z-score** to find the probability using the Z-formula:
   \[ Z = \frac{X - \mu}{SEM} \]
   where X is the desired average time (40 minutes in this case).

5. **Plug in the values**:
   \[ Z = \frac{40 - 34}{2.33} \approx \frac{6}{2.33} \approx 2.58 \]

6. **Find the probability** from the Z-table corresponding to the calculated Z-score (2.58).

7. From the Z-table, a Z-score of 2.58 has a cumulative probability of about 0.9951. 

8. **Calculate the probability of the average interview time being 40 minutes or longer**:
   Since we need 40 minutes or longer,
   \[ P(X \ge 40) = 1 - P(X < 40) = 1 - 0.9951 = 0.0049 \]

#### Answer:
The probability that the average length of time for nine interviews will be 40 minutes or longer is approximately 0.0049, or 0.49%.
Transcribed Image Text:### Example Problem: Probability in Normal Distribution #### Problem: The personnel office at a large electronics firm regularly schedules job interviews and maintains records of the interviews. From the past records, they have found that the length of a first interview is normally distributed with: - Mean (μ) = 34 minutes - Standard deviation (σ) = 7 minutes. **Question**: What is the probability that the average length of time for nine interviews will be 40 minutes or longer? #### Solution Steps: 1. **Identify the given variables**: - Mean (μ) = 34 minutes - Standard deviation (σ) = 7 minutes - Sample size (n) = 9 2. **Calculate the standard error of the mean (SEM)** using the formula: \[ SEM = \frac{\sigma}{\sqrt{n}} \] 3. **Plug in the values**: \[ SEM = \frac{7}{\sqrt{9}} = \frac{7}{3} \approx 2.33 \] 4. **Calculate the Z-score** to find the probability using the Z-formula: \[ Z = \frac{X - \mu}{SEM} \] where X is the desired average time (40 minutes in this case). 5. **Plug in the values**: \[ Z = \frac{40 - 34}{2.33} \approx \frac{6}{2.33} \approx 2.58 \] 6. **Find the probability** from the Z-table corresponding to the calculated Z-score (2.58). 7. From the Z-table, a Z-score of 2.58 has a cumulative probability of about 0.9951. 8. **Calculate the probability of the average interview time being 40 minutes or longer**: Since we need 40 minutes or longer, \[ P(X \ge 40) = 1 - P(X < 40) = 1 - 0.9951 = 0.0049 \] #### Answer: The probability that the average length of time for nine interviews will be 40 minutes or longer is approximately 0.0049, or 0.49%.
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