Describe the sampling distribution of p. Assume the size of the population is 30,000.n = 900, p = 0.625Describe the shape of the sampling distribution of p. Choose the correct answer below.A. The shape of the sampling distribution of p is not normal because n ≤0.05N and np(1-p) < 10.B. The shape of the sampling distribution of p is approximately normal because n≤0.05N and np(1-p) ≥ 10.C.The shape of the sampling distribution of p is not normal because n ≤0.05N and np(1 - p) ≥ 10.рAD. The shape of the sampling distribution of p is approximately normal because n ≤0.05N and np(1-p) < 10.Determine the mean of the sampling distribution of p.(Round to three decimal places as needed.)H₁ =Determine the standard deviation of the sampling distribution of p.(Round to three decimal places as needed.)0₁ =р

Answer:- Given, sample size, n = 900 Proportion, p = 0.625 Population size, N = 30000 Using…

Answered: Describe the sampling distribution of…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Describe the sampling distribution of p. Assume the size of the population is 20,000. n = 500, p=0.8 Choose the phrase that best describes the shape of the sampling distribution of p below. A. Approximately normal because n ≤0.05N and np(1-p) ≥ 10. B. Not normal because n ≤ 0.05N and np(1-p) 2 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 p. (Round to one decimal place as needed.) на =
Determine whether the statement is true or false. If it is false, rewrite it as a true statement. A sampling distribution is normal only if the population is normal. Choose the correct answer below O A. The statement is false. A sampling distribution is never normal. O B. The statement is false. A sampling distribution is normal only if n230. O C. The statement is true. O D. The statement is false. A sampling distribution is normal if either n230 or the population is normal. Click to select your answer. ... acer
der Describe the shape of the distribution. OA. The distribution is uniform. O B. The distribution is skewed to the right. OC. The distribution is skewed to the left. OD. The distribution is bell shaped.
K Determine whether the statement is true or false. If it is false, rewrite it as a true statement. A sampling distribution is normal only if the population is normal. Choose the correct answer below. OA. The statement is true. OB. The statement is false. A sampling distribution is normal if either n ≥ 30 or the population is normal. OC. The statement is false. A sampling distribution is normal only if n ≥ 30. O D. The statement is false. A sampling distribution is never normal. Z-S e
Describe the sampling distribution of p. Assume the size of the population is 20,000. n 800, p 0.356 Describe the shape of the sampling distribution of p. Choose the correct answer below. A. The shape of the sampling distribution of p is not normal because n s 0.05N and np(1 - p)< 10 В. The shape of the sampling distribution of p is approximately normal because ns0.05N and np(1 -p) 10 A С. The shape of the sampling distribution of p is approximately normal because ns0.05N and np(1 -p)2 10 D. The shape of the sampling distribution of p is not normal because ns 0.05N and np(1 -p)z 10. Determine the mean of the sampling distribution of p. (Round to three decimal places as needed.) HA р Determine the standard deviation of the sampling distribution of p. (Round to three decimal places as needed.) р
Describe the sampling distribution of p. Assume the size of the population is 25,000. n=900 p=0.5 Choose the phrase that best describes the shape of the sampling distribution of p below. A. Not normal because n≤0.05N and np(1−p)≥10 B. Not normal because n≤0.05N and np(1−p)<10 C. Approximately 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 p μp=_____ (Round to one decimal place as needed)
Describe the sampling distribution of p. Assume the size of the population is 25,000. n = 600, p = 0.313 A Describe the shape of the sampling distribution of p. Choose the correct answer below. A. The shape of the sampling distribution of p is approximately normal because n ≤0.05N and np(1 - p) ≥ 10. A B. The shape of the sampling distribution of p is approximately normal because n ≤0.05N and np(1 - p) < 10. C. The shape of the sampling distribution of p is not normal because n≤0.05N and np(1-p) ≥ 10. ^ D. The shape of the sampling distribution of p is not normal because n ≤0.05N and np(1 − p) < 10. Determine the mean of the sampling distribution of p. H^ = р (Round to three decimal places as needed.) Determine the standard deviation of the sampling distribution of p. (Round to three decimal places as needed.) OA = р

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