Describe the sampling distribution of p. Assume the size of the population is 25,000.n = 900, p = 0.371Describe 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.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.(Round to three decimal places as needed.)H₁ =рDetermine the standard deviation of the sampling distribution of p.(Round to three decimal places as needed.)OA =р

It is given that N = 25000 n = 900 p = 0.371

Answered: Describe the shape of the sampling…

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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A researcher wants to check the claim that a certain species of reptile spend an average of 18.2 months in quaratine before being transported to another facility. She takes a random sample of 25 such cases from files and finds that ī = 18.9 months and the sample standard deviation, s = 3.6 months. Test the claim at the 0.1 significance level. What are the correct hypotheses? (Select the correct symbols and use decimal values not percentages.) Ho: Select an answer v months H: Select an answer v months Original claim = Select an answer v Based on the hypotheses, find the following: Test Statistic = |(Round to three decimal places and show work in the "show work" box below.) p-value = (Round to four decimal places and show work in the "show work" box below.) Critical values = ± (Round to three decimal places.)
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 $229 with a standard deviation of $63. Random samples of size 24 are drawn from this population and the mean of each sample is determined. The mean of the distribution of sample means is
Let sample size n = 51. Find P (t > 4.92). a. 0.0005 < P (t > 4.92) < 0.001 b. 0.001 < P (t > 4.92) < 0.0025 c. P (t > 4.92) < 0.0005 d. P (t > 4.92) > 0.25
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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