4) Which score has a better position? (show your calculations of the z-scores) A score of 33.1 on a test with a sample mean of 28 and s= 5 or A score of 289.7 on a test with a sample mean of 268 and s =19?

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Can you help with # 4 on my hw pls
### Probability and Statistics Exercise

#### Comparing Z-Scores

**Question 4:**
Which score has a better position? (show your calculations of the z-scores)
- A score of 33.1 on a test with a sample mean of 28 and \( s = 5 \) or
- A score of 289.7 on a test with a sample mean of 268 and \( s = 19 \)

**Solution:**
To determine which score has a better position, we need to calculate the z-scores for both test scores.

The z-score formula is: 
\[ z = \frac{(X - \mu)}{s} \]

Where:
- \( X \) is the score
- \( \mu \) is the sample mean
- \( s \) is the standard deviation

For the first test score:
\[ X = 33.1, \mu = 28, s = 5 \]
\[ z = \frac{(33.1 - 28)}{5} = \frac{5.1}{5} = 1.02 \]

For the second test score:
\[ X = 289.7, \mu = 268, s = 19 \]
\[ z = \frac{(289.7 - 268)}{19} = \frac{21.7}{19} \approx 1.14 \]

Conclusion: The second score has a better position because it has a higher z-score.

#### Probability Question

**Question 5:**
Use the following table to answer the probability questions:

| Waiting time (minutes) | Number of customers |
|------------------------|---------------------|
| 0-3                    | 14                  |
| 4-7                    | 9                   |
| 8-11                   | 11                  |

This table shows the number of customers corresponding to different waiting times.

**Instructions:**
Use this table to calculate probabilities related to customer waiting times. For example, to find the probability that a customer's waiting time is between 4 and 7 minutes, divide the number of customers in that range by the total number of customers. 

**Calculations:**
Total number of customers = \( 14 + 9 + 11 = 34 \)

Probability that a customer's waiting time is 0-3 minutes:
\[ P(0-3) = \frac{14}{34} \approx
Transcribed Image Text:### Probability and Statistics Exercise #### Comparing Z-Scores **Question 4:** Which score has a better position? (show your calculations of the z-scores) - A score of 33.1 on a test with a sample mean of 28 and \( s = 5 \) or - A score of 289.7 on a test with a sample mean of 268 and \( s = 19 \) **Solution:** To determine which score has a better position, we need to calculate the z-scores for both test scores. The z-score formula is: \[ z = \frac{(X - \mu)}{s} \] Where: - \( X \) is the score - \( \mu \) is the sample mean - \( s \) is the standard deviation For the first test score: \[ X = 33.1, \mu = 28, s = 5 \] \[ z = \frac{(33.1 - 28)}{5} = \frac{5.1}{5} = 1.02 \] For the second test score: \[ X = 289.7, \mu = 268, s = 19 \] \[ z = \frac{(289.7 - 268)}{19} = \frac{21.7}{19} \approx 1.14 \] Conclusion: The second score has a better position because it has a higher z-score. #### Probability Question **Question 5:** Use the following table to answer the probability questions: | Waiting time (minutes) | Number of customers | |------------------------|---------------------| | 0-3 | 14 | | 4-7 | 9 | | 8-11 | 11 | This table shows the number of customers corresponding to different waiting times. **Instructions:** Use this table to calculate probabilities related to customer waiting times. For example, to find the probability that a customer's waiting time is between 4 and 7 minutes, divide the number of customers in that range by the total number of customers. **Calculations:** Total number of customers = \( 14 + 9 + 11 = 34 \) Probability that a customer's waiting time is 0-3 minutes: \[ P(0-3) = \frac{14}{34} \approx
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