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Question 2, 8.2.11-T
Part 1 of 5
(a) Describe the sampling distribution of p.
Choose the phrase that best describes the shape of the sampling distribution below.
Chasitie Woodruff
A. Approximately normal because n≤0.05N and np(1-p) < 10.
B. Not normal because n ≤0.05N and np(1-p) < 10.
OC. Not normal because n ≤0.05N and np(1-p) ≥
10.
O D. Approximately normal because n≤0.05N and np(1-P) z 10.
HW Score: 8.33%, 0.5 of 6 points
O Points: 0 of 1
Suppose a simple random sample of size n = 75 is obtained from a population whose size is N = 15,000 and whose population proportion with a specified
characteristic is p=0.4. Complete parts (a) through (c) below.
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272 Homeworkmylab.pearson.comQuestion 2, 8.2.11-TPart 1 Of 5(a) Describe The Sampling Distribution Of

Answers

Answer 1

The phrase that best describes the shape of the sampling distribution of p below is D. Approximately normal because n≤0.05N and np(1 - p) ≥ 10.

What is a sampling distribution?

A sampling distribution simply means a probability distribution of a statistic obtained from a larger number of samples drawn from a specific population.

In this case, the phrase that best describes the shape of the sampling distribution of p below is approximately normal because n≤0.05N and np(1 - p) ≥ 10.

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