10.A sample of n = 25 scores has a mean of M = 40 and a standard deviation of s = 10. What is the estimated standard error for the sample mean? а. 4 с. /2 b. 2 d. 1

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**Problem Statement**

A sample of \( n = 25 \) scores has a mean of \( M = 40 \) and a standard deviation of \( s = 10 \). What is the estimated standard error for the sample mean?

**Options**

a. 4  
b. 2  
c. \( \sqrt{2} \)  
d. 1  

---

**Explanation**

To find the estimated standard error for the sample mean, use the formula:

\[
SE = \frac{s}{\sqrt{n}}
\]

Where:
- \( s \) is the standard deviation (10),
- \( n \) is the sample size (25).

Plug the values into the formula:

\[
SE = \frac{10}{\sqrt{25}} = \frac{10}{5} = 2
\]

Therefore, the estimated standard error for the sample mean is 2.

**Correct Answer: b. 2**
Transcribed Image Text:**Problem Statement** A sample of \( n = 25 \) scores has a mean of \( M = 40 \) and a standard deviation of \( s = 10 \). What is the estimated standard error for the sample mean? **Options** a. 4 b. 2 c. \( \sqrt{2} \) d. 1 --- **Explanation** To find the estimated standard error for the sample mean, use the formula: \[ SE = \frac{s}{\sqrt{n}} \] Where: - \( s \) is the standard deviation (10), - \( n \) is the sample size (25). Plug the values into the formula: \[ SE = \frac{10}{\sqrt{25}} = \frac{10}{5} = 2 \] Therefore, the estimated standard error for the sample mean is 2. **Correct Answer: b. 2**
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