Suppose a simple random sample of size n = 50 is obtained from a population whose size is N = 10,000 and whose population proportion with a specified characteristic is p = 0.4. Complete parts (a) through (c) below. ..... (a) Describe the sampling distribution of p. Choose the phrase that best describes the shape of the sampling distribution below. O A. Not normal because ns0.05N and np(1 - p)< 10. O B. Approximately normal because ns0.05N and np(1-p) < 10. OC. Not normal because ns0.05N and np(1-p) 2 10. O D. Approximately normal because ns0.05N and np(1 - p) > 10. Determine the mean of the sampling distribution of p. HA = E (Round to one decimal place as needed.) Determine the standard deviation of the sampling distribution of p. OA = (Round to six decimal places as needed.) (b) What is the probability of obtaining x = 23 or more individuals with the characteristic? That is, what is P(p20.46)? P(p20.46) = (Round to four decimal places as needed.) (c) What is the probability of obtaining x = 18 or fewer individuals with the characteristic? That is, what is P(ps0.36)? P(ps0.36) = (Round to four decimal places as needed.)

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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Suppose a simple random sample of size n = 50 is obtained from a population whose size is N = 10,000 and whose population proportion with a specified characteristic is p = 0.4. Complete parts (a) through (c) below.

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**(a) Describe the sampling distribution of \( \hat{p} \).**

Choose the phrase that best describes the shape of the sampling distribution below.

- **A.** Not normal because n ≤ 0.05N and np(1−p) < 10.
- **B.** Approximately normal because n ≤ 0.05N and np(1−p) < 10.
- **C.** Not normal because n ≤ 0.05N and np(1−p) ≥ 10.
- **D.** Approximately normal because n ≤ 0.05N and np(1−p) ≥ 10.

Determine the mean of the sampling distribution of \( \hat{p} \).

\[ \mu_{\hat{p}} = \, \_\_\_ \] (Round to one decimal place as needed.)

Determine the standard deviation of the sampling distribution of \( \hat{p} \).

\[ \sigma_{\hat{p}} = \, \_\_\_ \] (Round to six decimal places as needed.)

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**(b) What is the probability of obtaining x = 23 or more individuals with the characteristic?** That is, what is \( P(\hat{p} ≥ 0.46) \)?

\[ P(\hat{p} ≥ 0.46) = \, \_\_\_ \] (Round to four decimal places as needed.)

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**(c) What is the probability of obtaining x = 18 or fewer individuals with the characteristic?** That is, what is \( P(\hat{p} ≤ 0.36) \)?

\[ P(\hat{p} ≤ 0.36) = \, \_\_\_ \] (Round to four decimal places as needed.)
Transcribed Image Text:Suppose a simple random sample of size n = 50 is obtained from a population whose size is N = 10,000 and whose population proportion with a specified characteristic is p = 0.4. Complete parts (a) through (c) below. --- **(a) Describe the sampling distribution of \( \hat{p} \).** Choose the phrase that best describes the shape of the sampling distribution below. - **A.** Not normal because n ≤ 0.05N and np(1−p) < 10. - **B.** Approximately normal because n ≤ 0.05N and np(1−p) < 10. - **C.** Not normal because n ≤ 0.05N and np(1−p) ≥ 10. - **D.** Approximately normal because n ≤ 0.05N and np(1−p) ≥ 10. Determine the mean of the sampling distribution of \( \hat{p} \). \[ \mu_{\hat{p}} = \, \_\_\_ \] (Round to one decimal place as needed.) Determine the standard deviation of the sampling distribution of \( \hat{p} \). \[ \sigma_{\hat{p}} = \, \_\_\_ \] (Round to six decimal places as needed.) --- **(b) What is the probability of obtaining x = 23 or more individuals with the characteristic?** That is, what is \( P(\hat{p} ≥ 0.46) \)? \[ P(\hat{p} ≥ 0.46) = \, \_\_\_ \] (Round to four decimal places as needed.) --- **(c) What is the probability of obtaining x = 18 or fewer individuals with the characteristic?** That is, what is \( P(\hat{p} ≤ 0.36) \)? \[ P(\hat{p} ≤ 0.36) = \, \_\_\_ \] (Round to four decimal places as needed.)
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