Describe the sampling distribution of p. Assume the size of the population is 25,000. n= 600, p = 0.1 Choose the phrase that best describes the shape of the sampling distribution of p below. O A. Not normal because n s 0.05N and np(1- p) > 10. O B. Not normal because ns 0.05N and np(1-p) < 10. OC. Approximately normal because ns 0.05N and np(1-p) < 10. D. Approximately normal because ns 0.05N and np(1 - p) 2 10. Determine the mean of the sampling distribution of p. Ha = 0.1 (Round to one decimal place as needed.) Determine the standard deviation of the sampling distribution of p. OA = (Round to three decimal places as needed.)

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 20PFA
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Describe the sampling distribution of p. Assume the size of the population is 25,000.
n= 600, p = 0.1
Choose the phrase that best describes the shape of the sampling distribution of p below.
O A. Not normal because ns 0.05N and np(1 - p) 2 10.
OB. Not nomal because ns 0.05N and np(1 - p) < 10.
OC. Approximately normal because ns 0.05N and np(1 - p) < 10.
D. Approximately normal because ns 0.05N and np(1 - p) z 10.
Determine the mean of the sampling distribution of p.
H. = 0.1 (Round to one decimal place as needed.)
Determine the standard deviation of the sampling distribution of p.
G = (Round to three decimal places as needed.)
Transcribed Image Text:Describe the sampling distribution of p. Assume the size of the population is 25,000. n= 600, p = 0.1 Choose the phrase that best describes the shape of the sampling distribution of p below. O A. Not normal because ns 0.05N and np(1 - p) 2 10. OB. Not nomal because ns 0.05N and np(1 - p) < 10. OC. Approximately normal because ns 0.05N and np(1 - p) < 10. D. Approximately normal because ns 0.05N and np(1 - p) z 10. Determine the mean of the sampling distribution of p. H. = 0.1 (Round to one decimal place as needed.) Determine the standard deviation of the sampling distribution of p. G = (Round to three decimal places as needed.)
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