Questions: Describe the sampling distribution of p̂. Assume the size of the population is 30,000. n=900, p=0.572 Describe the shape of the sampling distribution of p̂. Choose the correct answer below. A. The shape of the sampling distribution of p̂ is approximately normal because n ≤ 0.05 N and n p(1-p) ≥ 10. B. The shape of the sampling distribution of p̂ is not normal because n ≤ 0.05 N and np(1-p) ≥ 10. C. The shape of the sampling distribution of p̂ is approximately normal because n ≤ 0.05 N and np(1-p)<10. D. The shape of the sampling distribution of p̂ is not normal because n ≤ 0.05 N and n p(1-p)<10. Determine the mean of the sampling distribution of p̂. μp= (Round to three decimal places as needed.) Determine the standard deviation of the sampling distribution of p̂ σp̂= (Round to three decimal places as needed.)

Describe the sampling distribution of p̂. Assume the size of the population is 30,000.
n=900, p=0.572

Describe the shape of the sampling distribution of p̂. Choose the correct answer below.
A. The shape of the sampling distribution of p̂ is approximately normal because n ≤ 0.05 N and n p(1-p) ≥ 10.
B. The shape of the sampling distribution of p̂ is not normal because n ≤ 0.05 N and np(1-p) ≥ 10.
C. The shape of the sampling distribution of p̂ is approximately normal because n ≤ 0.05 N and np(1-p)<10.
D. The shape of the sampling distribution of p̂ is not normal because n ≤ 0.05 N and n p(1-p)<10.

Determine the mean of the sampling distribution of p̂.
μp= (Round to three decimal places as needed.)

Determine the standard deviation of the sampling distribution of p̂
σp̂= (Round to three decimal places as needed.)
Transcript text: Describe the sampling distribution of $\hat{p}$. Assume the size of the population is 30,000 . \[ \mathrm{n}=900, \mathrm{p}=0.572 \] Describe the shape of the sampling distribution of $\hat{p}$. Choose the correct answer below. A. The shape of the sampling distribution of $\hat{p}$ is approximately normal because $n \leq 0.05 \mathrm{~N}$ and $n p(1-p) \geq 10$. B. The shape of the sampling distribution of $\hat{p}$ is not normal because $n \leq 0.05 \mathrm{~N}$ and $\mathrm{np}(1-\mathrm{p}) \geq 10$. C. The shape of the sampling distribution of $\hat{p}$ is approximately normal because $n \leq 0.05 \mathrm{~N}$ and $\mathrm{np}(1-\mathrm{p})<10$. D. The shape of the sampling distribution of $\hat{p}$ is not normal because $n \leq 0.05 \mathrm{~N}$ and $n p(1-p)<10$. Determine the mean of the sampling distribution of $\hat{p}$. $\mu_{p}=$ $\square$ (Round to three decimal places as needed.) Determine the standard deviation of the sampling distribution of $\hat{p}$ $\sigma_{\hat{p}}=$ $\square$ (Round to three decimal places as needed.)
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Solution

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Solution Steps

Step 1: Conditions for Normality

To determine the shape of the sampling distribution of \( \hat{p} \), we check the following conditions:

  1. Condition 1: \( n \leq 0.05N \)

    • Given \( n = 900 \) and \( N = 30000 \): \[ 900 \leq 0.05 \times 30000 \quad \Rightarrow \quad 900 \leq 1500 \quad \text{(True)} \]
  2. Condition 2: \( np(1-p) \geq 10 \)

    • Given \( p = 0.572 \): \[ np(1-p) = 900 \times 0.572 \times (1 - 0.572) = 900 \times 0.572 \times 0.428 \approx 220.4 \quad \text{(True)} \]

Since both conditions are satisfied, the shape of the sampling distribution of \( \hat{p} \) is approximately normal.

Step 2: Mean of the Sampling Distribution

The mean of the sampling distribution of \( \hat{p} \) is given by: \[ \mu_{\hat{p}} = p = 0.572 \]

Step 3: Standard Deviation of the Sampling Distribution

The standard deviation of the sampling distribution of \( \hat{p} \) is calculated using the formula: \[ \sigma_{\hat{p}} = \sqrt{\frac{p(1-p)}{n}} = \sqrt{\frac{0.572 \times (1 - 0.572)}{900}} \approx 0.016 \]

Final Answer

The shape of the sampling distribution of \( \hat{p} \) is approximately normal because \( n \leq 0.05N \) and \( np(1-p) \geq 10 \). The mean of the sampling distribution is \( \mu_{\hat{p}} = 0.572 \) and the standard deviation is \( \sigma_{\hat{p}} = 0.016 \).

\[ \boxed{\text{Shape: Approximately Normal, } \mu_{\hat{p}} = 0.572, \sigma_{\hat{p}} = 0.016} \]

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