Suppose the true proportion of voters in the county who support a specific candidate is 0.58. Consider th sampling distribution for the proportion of supporters with sample size n 197. What is the mean of this distribution? What is the standard deviation of this distribution?

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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### Sampling Distribution of Proportions

**Scenario:**
Suppose the true proportion of voters in the county who support a specific candidate is 0.58. Consider the sampling distribution for the proportion of supporters with a sample size \( n = 197 \).

**Questions:**
1. **What is the mean of this distribution?**
   - [Input box for the answer]

2. **What is the standard deviation of this distribution?**
   - [Input box for the answer]

**Instructions:**
Please answer the questions based on the given scenario. When you're ready, click the "Submit Question" button below.

[Button: Submit Question]

---

**Explanation:**

**The Mean of the Sampling Distribution:**
The mean of the sampling distribution (also called the expected value) for the proportion is equal to the true proportion of the population. Therefore, if the true proportion \( p \) is 0.58, the mean \( \mu \) is also 0.58.

**The Standard Deviation of the Sampling Distribution:**
The standard deviation of a proportion in a sampling distribution can be calculated using the formula:
\[ \sigma = \sqrt{\frac{p(1-p)}{n}} \]
where \( p \) is the true proportion (0.58 in this case) and \( n \) is the sample size (197 here).

By inserting the values into the formula:
\[ \sigma = \sqrt{\frac{0.58(1-0.58)}{197}} \]

Calculating this will give the standard deviation of the sampling distribution.
Transcribed Image Text:### Sampling Distribution of Proportions **Scenario:** Suppose the true proportion of voters in the county who support a specific candidate is 0.58. Consider the sampling distribution for the proportion of supporters with a sample size \( n = 197 \). **Questions:** 1. **What is the mean of this distribution?** - [Input box for the answer] 2. **What is the standard deviation of this distribution?** - [Input box for the answer] **Instructions:** Please answer the questions based on the given scenario. When you're ready, click the "Submit Question" button below. [Button: Submit Question] --- **Explanation:** **The Mean of the Sampling Distribution:** The mean of the sampling distribution (also called the expected value) for the proportion is equal to the true proportion of the population. Therefore, if the true proportion \( p \) is 0.58, the mean \( \mu \) is also 0.58. **The Standard Deviation of the Sampling Distribution:** The standard deviation of a proportion in a sampling distribution can be calculated using the formula: \[ \sigma = \sqrt{\frac{p(1-p)}{n}} \] where \( p \) is the true proportion (0.58 in this case) and \( n \) is the sample size (197 here). By inserting the values into the formula: \[ \sigma = \sqrt{\frac{0.58(1-0.58)}{197}} \] Calculating this will give the standard deviation of the sampling distribution.
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