Using the Sampling Distribution for the Sample Proportion web appsimulate an exit poll for a referendum that only allowed for a "Yes" and"No" vote. Assume the true proportion of Yes votes in the population is0.47.Simulate 10,000 samples of size 100 at once. Use the histogram of the10,000 sample proportions you generated to describe the center of thesampling distribution.The sampling distribution has a mean of(Round to three decimal places as needed.)@#$%12346QWE R T

Answered: Using the Sampling Distribution for the…

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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Athletes at a certain university have a long term graduation rate of 0.60 or 60%. Researchers believe that this has changed over the past several years and take a random sample of 300 athletes from the university and find that 201 eventually graduated. Researchers use the Candy Machine APP to look at the empirical sampling distribution of the proportion based on the graduate rate of 0.60 for samples of size 300 and obtain the distribution shown in the image below. Use this sampling distribution to assist you in choosing the correct statement. a)For samples of size 300, the sample proportion of 0.67 is unlikely if the population proportion is 0.60. Therefore it is unlikely that in the population of all athletes at the university that the graduation proportion is still 0.60. There is evidence that the graduation rate is now lower for athletes. b)For samples of size 300, the sample proportion of 0.67 is likely if the population proportion is 0.60. Therefore it is likely that in the…
Describe the indicated sampling distribution model. Statistics from a weather center indicate that a certain city receives an average of 14 inches of snow each year, with a standard deviation of 5 inches. Assume that a Normal model applies. A student lives in this city for 7 years. Let y represent the mean amount of snow for those 7 years. Describe the sampling distribution model of this sample mean. O A. N(14,0.71) O B. N(14, 5) OC. N(14, 1.89) OD. Binom(14, 5) O E. There is not enough information to describe the sampling distribution.
Describe the sampling distribution of p. Assume the size of the population is 30,000. n=800, p= 0.4
Use the Central Limit Theorem to find the mean and standard error of the mean of the sampling distribution. Then sketch a graph of the sampling distribution. The mean price of photo printers on a website is $227 with a standard deviation of $58. Random samples of size 22 are drawn from this population and the mean of each sample is determined. Question content area bottom Part 1 The mean of the distribution of sample means is enter your response here . Part 2 The standard deviation of the distribution of sample means is enter your response here . (Type an integer or decimal rounded to three decimal places as needed.) Part 3 Sketch a graph of the sampling distribution. Choose the correct answer below. A. 224 227 230Mean price (in $) x A bell shaped curve is over a horizontal x overbar axis labeled Mean price (in dollars) from 224 to 230 in increments of 1 and is centered on 227. B. -3 0 3Mean…
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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
Describe the sampling distribution of p. Assume the size of the population is 15,000. n= 400, p = 0.4 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) < 10. O B. Not normal because ns0.05N and np(1-p) 2 10. O C. Approximately normal because ns0.05N 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. (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.)

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