MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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- Helparrow_forwardDescribe the sampling distribution of p. Assume the size of the population is 20,000. n= 800, p = 0.8 Choose the phrase that best describes the shape of the sampling distribution of p below. VA. Approximately normal because ns 0.05N and np(1- p) 2 10. B. Not normal because ns0.05N and np(1-p) 2 10. OC. Not normal because ns0.05N and np(1- p) < 10. O D. Approximately normal because ns0.05N and np(1- p) < 10. Determine the mean of the sampling distribution of p. Ha = 0.8 (Round to one decimal place as needed.) Determine the standard deviation of the sampling distribution of p. (Round to three decimal places as needed.)arrow_forwardFor the data set given, what is the standard error of the sampling distribution of mean difference scores for n=4. a. .91 b. 2.25 c. 3.33 d. .52arrow_forward
- Consider these sample data: x1=15, x2=9, x3=3, x4=22. a. Find n. b. Compute ∑xi. c.Determine x. a.n=arrow_forwardConsider a population proportion p = 0.27. Calculate the standard error for the sampling distribution of the sample proportion when n = 17 and n = 65?arrow_forwardAssume we know the following for a paired-samples t test: N = 32, Mdifference = 1.75, s = 4arrow_forward
- Please answer quickly!arrow_forwardDescribe 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.)arrow_forwardO a. the OLS estimate of r is biased due to sample selection. O b.the OLS estimate of r is unbiased. Oc the error u is homoskedastic. O d. the OLS estimator is BLUE.arrow_forward
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