Suppose a simple random sample of sizen=1000 is obtained from a population whose size is N= 2,000,000 and whose population proportion with a specified characteristic is p=0.75. Complete parts (a) through (c) below. (a) Describe the sampling distribution of p. O A. Approximately normal, µ. = 0.75 and o. 0.0137 O B. Approximately normal, µ. = 0.75 and o. 0.0002 OC. Approximately normal, µ. = 0.75 and o. 0.0003 (b) What is the probability of obtaining x =780 or more individuals with the characteristic? P(x2780) =O (Round to four decimal places as needed.) (c) What is the probability of obtaining x = 710 or fewer individuals with the characteristic? P(xs710) =O (Round to four decimal places as needed.)

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Suppose a simple random sample of size n equals 1000 is obtained from a population whose size is N equals 2 comma 000 comma 000 and whose population proportion with a specified characteristic is p equals 0.75. Complete parts​ (a) through​ (c) below.

Suppose a simple random sample of size \( n = 1000 \) is obtained from a population whose size is \( N = 2,000,000 \) and whose population proportion with a specified characteristic is \( p = 0.75 \). Complete parts (a) through (c) below.

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

- Option A: Approximately normal, \( \mu_{\hat{p}} = 0.75 \) and \( \sigma_{\hat{p}} \approx 0.0137 \)
- Option B: Approximately normal, \( \mu_{\hat{p}} = 0.75 \) and \( \sigma_{\hat{p}} \approx 0.0002 \)
- Option C: Approximately normal, \( \mu_{\hat{p}} = 0.75 \) and \( \sigma_{\hat{p}} \approx 0.0003 \)

(b) What is the probability of obtaining \( x = 780 \) or more individuals with the characteristic?

\[ P(x \geq 780) = \_\_\_\_ \] (Round to four decimal places as needed.)

(c) What is the probability of obtaining \( x = 710 \) or fewer individuals with the characteristic?

\[ P(x \leq 710) = \_\_\_\_ \] (Round to four decimal places as needed.)
Transcribed Image Text:Suppose a simple random sample of size \( n = 1000 \) is obtained from a population whose size is \( N = 2,000,000 \) and whose population proportion with a specified characteristic is \( p = 0.75 \). Complete parts (a) through (c) below. (a) Describe the sampling distribution of \( \hat{p} \). - Option A: Approximately normal, \( \mu_{\hat{p}} = 0.75 \) and \( \sigma_{\hat{p}} \approx 0.0137 \) - Option B: Approximately normal, \( \mu_{\hat{p}} = 0.75 \) and \( \sigma_{\hat{p}} \approx 0.0002 \) - Option C: Approximately normal, \( \mu_{\hat{p}} = 0.75 \) and \( \sigma_{\hat{p}} \approx 0.0003 \) (b) What is the probability of obtaining \( x = 780 \) or more individuals with the characteristic? \[ P(x \geq 780) = \_\_\_\_ \] (Round to four decimal places as needed.) (c) What is the probability of obtaining \( x = 710 \) or fewer individuals with the characteristic? \[ P(x \leq 710) = \_\_\_\_ \] (Round to four decimal places as needed.)
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