1.98/3.33 Points] DETAILS PREVIOUS ANSWERS ASWESBE9 3.E.036. MY NOTES ASK YOUR TEAC Consider a sample with a mean of 500 and a standard deviation of 100. What are the z-scores for the following data values: 550, 640, 500, 480, and 290? 888 %23 2$ % & 3 4 5 6 7 8 Q W E R Y P

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### Question

**Consider a sample with a mean of 500 and a standard deviation of 100. What are the z-scores for the following data values: 550, 640, 500, 480, and 290?**

[Submit Answer] [Details] [Previous Answers]  
ASWESBE9 3.E.036

---

#### Explanation for Z-Scores

To find the z-scores for each data value, you use the formula:

\[ Z = \frac{(X - \mu)}{\sigma} \]

where:
- \( X \) is the data value,
- \( \mu \) is the mean of the sample (500 in this case),
- \( \sigma \) is the standard deviation (100 in this case).

**Data Values and Calculation of Z-Scores:**

1. **For 550:**
\[ Z = \frac{(550 - 500)}{100} = \frac{50}{100} = 0.5 \]

2. **For 640:**
\[ Z = \frac{(640 - 500)}{100} = \frac{140}{100} = 1.4 \]

3. **For 500:**
\[ Z = \frac{(500 - 500)}{100} = \frac{0}{100} = 0 \]

4. **For 480:**
\[ Z = \frac{(480 - 500)}{100} = \frac{-20}{100} = -0.2 \]

5. **For 290:**
\[ Z = \frac{(290 - 500)}{100} = \frac{-210}{100} = -2.1 \]

By using these calculations, you can determine the z-scores for each listed data value relative to the given sample mean and standard deviation.

---

If there are further questions or concepts you would like to understand better, feel free to use the "Ask Your Teacher" feature or check your "My Notes" section for additional resources.
Transcribed Image Text:--- ### Question **Consider a sample with a mean of 500 and a standard deviation of 100. What are the z-scores for the following data values: 550, 640, 500, 480, and 290?** [Submit Answer] [Details] [Previous Answers] ASWESBE9 3.E.036 --- #### Explanation for Z-Scores To find the z-scores for each data value, you use the formula: \[ Z = \frac{(X - \mu)}{\sigma} \] where: - \( X \) is the data value, - \( \mu \) is the mean of the sample (500 in this case), - \( \sigma \) is the standard deviation (100 in this case). **Data Values and Calculation of Z-Scores:** 1. **For 550:** \[ Z = \frac{(550 - 500)}{100} = \frac{50}{100} = 0.5 \] 2. **For 640:** \[ Z = \frac{(640 - 500)}{100} = \frac{140}{100} = 1.4 \] 3. **For 500:** \[ Z = \frac{(500 - 500)}{100} = \frac{0}{100} = 0 \] 4. **For 480:** \[ Z = \frac{(480 - 500)}{100} = \frac{-20}{100} = -0.2 \] 5. **For 290:** \[ Z = \frac{(290 - 500)}{100} = \frac{-210}{100} = -2.1 \] By using these calculations, you can determine the z-scores for each listed data value relative to the given sample mean and standard deviation. --- If there are further questions or concepts you would like to understand better, feel free to use the "Ask Your Teacher" feature or check your "My Notes" section for additional resources.
**Interactive Tutorial: Calculating Z-scores**

---

### Z-Scores Calculations

To practice calculating Z-scores for given data points, input your results in the provided fields. Ensure your calculations are accurate and based on the formula for computing Z-scores.

#### What is a Z-Score?
A z-score indicates how many standard deviations a data point is from the mean of the data set. The formula to calculate the z-score is:
\[
z = \frac{X - \mu}{\sigma}
\]
where:
- \( X \) is the data point
- \( \mu \) is the mean of the data set
- \( \sigma \) is the standard deviation of the data set

### Practice Problems:
1. Determine the z-score for the data point 480.
2. Determine the z-score for the data point 290.

#### Input your calculated Z-scores below:
- z-score for 480: [Enter a number] ![red cross icon](#)
- z-score for 290: [Enter a number] ![red cross icon](#)

### Need Help?
If you need assistance with calculating Z-scores, click on the "Read It" button for a detailed explanation and additional examples.

**Read It:**
![Read It](#)

---

### Additional Features:
- **Show My Work (Optional)**: Use this section to explain your step-by-step process of calculating the Z-scores. Providing detailed workings can help reinforce your understanding and identify any errors in calculations.

    #### Show My Work:
    ![Show My Work](#)

### Submit Your Answer:
After entering and reviewing your Z-scores, click on the "Submit Answer" button to check your results.

**Submit Answer**
![Submit Answer](#)

---
Transcribed Image Text:**Interactive Tutorial: Calculating Z-scores** --- ### Z-Scores Calculations To practice calculating Z-scores for given data points, input your results in the provided fields. Ensure your calculations are accurate and based on the formula for computing Z-scores. #### What is a Z-Score? A z-score indicates how many standard deviations a data point is from the mean of the data set. The formula to calculate the z-score is: \[ z = \frac{X - \mu}{\sigma} \] where: - \( X \) is the data point - \( \mu \) is the mean of the data set - \( \sigma \) is the standard deviation of the data set ### Practice Problems: 1. Determine the z-score for the data point 480. 2. Determine the z-score for the data point 290. #### Input your calculated Z-scores below: - z-score for 480: [Enter a number] ![red cross icon](#) - z-score for 290: [Enter a number] ![red cross icon](#) ### Need Help? If you need assistance with calculating Z-scores, click on the "Read It" button for a detailed explanation and additional examples. **Read It:** ![Read It](#) --- ### Additional Features: - **Show My Work (Optional)**: Use this section to explain your step-by-step process of calculating the Z-scores. Providing detailed workings can help reinforce your understanding and identify any errors in calculations. #### Show My Work: ![Show My Work](#) ### Submit Your Answer: After entering and reviewing your Z-scores, click on the "Submit Answer" button to check your results. **Submit Answer** ![Submit Answer](#) ---
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