Understanding Z-Scores What is the z-score of x = 2 if it is 2.8 standard deviations to the left of the mean? What is the z-score of x = 10 if it is 2.4 standard deviations to the right of the mean? 2 =

MATLAB: An Introduction with Applications
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### Understanding Z-Scores

#### Problem 1:
**Question:** What is the z-score of \( x = 2 \) if it is 2.8 standard deviations to the left of the mean?

**Answer field:**  
\[ z = \]

#### Problem 2:
**Question:** What is the z-score of \( x = 10 \) if it is 2.4 standard deviations to the right of the mean?

**Answer field:**  
\[ z = \]

**Explanation:**

A z-score is a statistical measurement that describes a value's position relative to the mean of a group of values. It's measured in terms of standard deviations from the mean. The formula to calculate the z-score is given by:

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

where:
- \( z \) is the z-score,
- \( X \) is the value,
- \( \mu \) is the mean,
- \( \sigma \) is the standard deviation.

In these problems, we are given the number of standard deviations rather than the raw value \( X \), and we need to find the z-scores.

**For Problem 1:**
Since the value \( x = 2 \) is 2.8 standard deviations to the left of the mean, the z-score is:

\[ z = -2.8 \]

**For Problem 2:**
Since the value \( x = 10 \) is 2.4 standard deviations to the right of the mean, the z-score is:

\[ z = 2.4 \]

These z-scores can help us understand how far a value is from the mean in a standardized manner.
Transcribed Image Text:### Understanding Z-Scores #### Problem 1: **Question:** What is the z-score of \( x = 2 \) if it is 2.8 standard deviations to the left of the mean? **Answer field:** \[ z = \] #### Problem 2: **Question:** What is the z-score of \( x = 10 \) if it is 2.4 standard deviations to the right of the mean? **Answer field:** \[ z = \] **Explanation:** A z-score is a statistical measurement that describes a value's position relative to the mean of a group of values. It's measured in terms of standard deviations from the mean. The formula to calculate the z-score is given by: \[ z = \frac{(X - \mu)}{\sigma} \] where: - \( z \) is the z-score, - \( X \) is the value, - \( \mu \) is the mean, - \( \sigma \) is the standard deviation. In these problems, we are given the number of standard deviations rather than the raw value \( X \), and we need to find the z-scores. **For Problem 1:** Since the value \( x = 2 \) is 2.8 standard deviations to the left of the mean, the z-score is: \[ z = -2.8 \] **For Problem 2:** Since the value \( x = 10 \) is 2.4 standard deviations to the right of the mean, the z-score is: \[ z = 2.4 \] These z-scores can help us understand how far a value is from the mean in a standardized manner.
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