Suppose a simple random sample of size n= 1000 is obtained from a population whose size is N=1,000,000 and whose population proportion with a specified characteristic is p=0.52. Complete parts (a) through (c) below. Click here to view the standard normal distribution table (page 1). Click here to view the standard normal distribution table (page 2). (a) Describe the sampling distribution of p OA. Approximately normal, μ = 0.52 and P OB. Approximately normal, μ = 0.52 and Р % 0.0005 0.0002 C. Approximately normal, μ = 0.52 and d. 0.0158 P P (b) What is the probability of obtaining x = 540 or more individuals with the characteristic? P(x2 540)= .0158 (Round to four decimal places as needed.)

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter13: Probability And Calculus
Section13.CR: Chapter 13 Review
Problem 58CR
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Suppose a simple random sample of size n = 1000 is obtained from a population whose size is N = 1,000,000 and whose population proportion with a specified characteristic is p=0.52. Complete parts (a) through (c) below.
Click here to view the standard normal distribution table (page 1).
Click here to view the standard normal distribution table (page 2).
(a) Describe the sampling distribution of p.
OA. Approximately normal, μ = 0.52 and o. 0.0005
p
p
OB. Approximately normal, μ = 0.52 and 0.0002
Ơn
p
C. Approximately normal, μ = 0.52 and 0.0158
"P
p
(b) What is the probability of obtaining x = 540 or more individuals with the characteristic?
P(x 2 540) = .0158 (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 = 1,000,000 and whose population proportion with a specified characteristic is p=0.52. Complete parts (a) through (c) below. Click here to view the standard normal distribution table (page 1). Click here to view the standard normal distribution table (page 2). (a) Describe the sampling distribution of p. OA. Approximately normal, μ = 0.52 and o. 0.0005 p p OB. Approximately normal, μ = 0.52 and 0.0002 Ơn p C. Approximately normal, μ = 0.52 and 0.0158 "P p (b) What is the probability of obtaining x = 540 or more individuals with the characteristic? P(x 2 540) = .0158 (Round to four decimal places as needed.)
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