Describe the sampling distribution of p. Assume the size of the population is 15,000.n= 200, p = 0.5...Choose the phrase that best describes the shape of the sampling distribution of p below.O A. Approximately normal because ns0.05N and np(1- p) 2 10.O B. Approximately normal because n s0.05N and np(1- p) < 10.OC. Not normal because ns0.05N and np(1 - p) 2 10.O D. Not normal because ns0.05N and np(1 - p) < 10.Determine the mean of the sampling distribution of p.Ha =(Round to one decimal place as needed.)Determine the standard deviation of the sampling distribution of p.(Round to three decimal places as needed.)

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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 25,000 n = 400, p = 0.4 Choose the phrase that best describes the shape of the sampling distribution of p below. OA. Approximately normal because n ≤0.05N and np(1 - p) < 10 B. Not normal because n ≤0.05N and np(1-p) < 10 OC. Approximately normal because n ≤0.05N and np(1-p) ≥ 10. O D. Not normal because n ≤0.05N and np(1-p) ≥ 10 Determine the mean of the sampling distribution of p HA = (Round to one decimal place 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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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
n, where k is the percentile and n is the sample size. Given a sorted sample of 234 IQ scores, what is the value of the 40th percentile? 100 When finding the value of a percentile, the location of that value is L = Choose the correct answer below. O A. The 93rd IQ score in the sorted list O B. The 40th IQ score in the sorted list. O C. The 94th IQ score in the sorted list O D. The IQ score midway between the 40th and 41st scores in the sorted list.
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
Solve for c
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
Describe the sampling distribution of p. Assume the size of the population is 30,000. n = 900, p = 0.625 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 ≤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. р A D. 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

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