A normal distribution of BMCC MAT51 scores has a standard deviation of 1.6. Find the z-scores corresponding to each of the following values: (Round to 2 decimal places) a. A score that is 3.2 points above the mean. (Hint: "x - mean = 5" is 5 above the mean) 2= b. A score that is 1.6 points below the mean. Z= c. A score that is 1.39 points above the mean. 2 = d. A score that is same as the mean. 2 =

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6.1 1
**Understanding Z-Scores:**

A normal distribution of BMCC MAT51 scores has a standard deviation of 1.6. Find the z-scores corresponding to each of the following values: *(Round to 2 decimal places)*

**a.** A score that is 3.2 points above the mean. *(Hint: "x - mean = 5" is 5 above the mean)*  
\[ z = \_\_ \]

**b.** A score that is 1.6 points below the mean.  
\[ z = \_\_ \]

**c.** A score that is 1.39 points above the mean.  
\[ z = \_\_ \]

**d.** A score that is the same as the mean.  
\[ z = \_\_ \]

**Explanation of Z-Scores:**
Z-scores measure how many standard deviations an element is from the mean. The formula is:

\[ z = \frac{(X - \text{mean})}{\text{standard deviation}} \]

Where:
- \( X \) is the raw score,
- The mean is the average score of the distribution,
- The standard deviation is given as 1.6 in this context.
Transcribed Image Text:**Understanding Z-Scores:** A normal distribution of BMCC MAT51 scores has a standard deviation of 1.6. Find the z-scores corresponding to each of the following values: *(Round to 2 decimal places)* **a.** A score that is 3.2 points above the mean. *(Hint: "x - mean = 5" is 5 above the mean)* \[ z = \_\_ \] **b.** A score that is 1.6 points below the mean. \[ z = \_\_ \] **c.** A score that is 1.39 points above the mean. \[ z = \_\_ \] **d.** A score that is the same as the mean. \[ z = \_\_ \] **Explanation of Z-Scores:** Z-scores measure how many standard deviations an element is from the mean. The formula is: \[ z = \frac{(X - \text{mean})}{\text{standard deviation}} \] Where: - \( X \) is the raw score, - The mean is the average score of the distribution, - The standard deviation is given as 1.6 in this context.
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