Given the following sampling distribution: What is the mean of this sampling distribution? X -20 -9 -4 6 16 9 P(X)/25/100/100/20

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**Sampling Distribution**

Given the following sampling distribution:

A table with values:

- **X**: -20, -9, -4, 6, 16
- **P(X)**: \( \frac{2}{25} \), \( \frac{9}{100} \), \( \frac{9}{100} \), \( \frac{1}{4} \), \( \frac{1}{20} \)

**Question:**

What is the mean of this sampling distribution?

**Explanation:**

To find the mean of a sampling distribution, you multiply each outcome (\(X\)) by its probability (\(P(X)\)) and then sum these products. The formula for the mean (\(\mu\)) is:

\[
\mu = \sum [X \cdot P(X)]
\] 

Calculate each product, then sum them to find the mean.
Transcribed Image Text:**Sampling Distribution** Given the following sampling distribution: A table with values: - **X**: -20, -9, -4, 6, 16 - **P(X)**: \( \frac{2}{25} \), \( \frac{9}{100} \), \( \frac{9}{100} \), \( \frac{1}{4} \), \( \frac{1}{20} \) **Question:** What is the mean of this sampling distribution? **Explanation:** To find the mean of a sampling distribution, you multiply each outcome (\(X\)) by its probability (\(P(X)\)) and then sum these products. The formula for the mean (\(\mu\)) is: \[ \mu = \sum [X \cdot P(X)] \] Calculate each product, then sum them to find the mean.
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