Determine whether the statement is true or false. If it is false, rewrite it asa true statement.A sampling distribution of a sample mean is normal only if the population isnormal.Choose the correct answer below.O A. The statement is false. A sampling distribution of a sample mean isapproximately normal if either n ≥ 30 or the population is normal.B. The statement is false. A sampling distribution of a sample mean isnever normal.O C. The statement is false. A sampling distribution of a sample mean isapproximately normal only if n ≥ 30.OD. The statement is true.

Conditions of the Central limit theorem: The population is normal.The sample size is≥ 30. If the…

Answered: Determine whether the statement is true…

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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Describe the sampling distribution of p. Assume the size of the population is 20,000. n=300, p = 0.6 Choose the phrase that best describes the shape of the sampling distribution of p below. O A. Approximately normal because n ≤0.05N and np (1-p) < 10. OB. 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) ≥ 10. Determine the mean of the sampling distribution of p (Round to one decimal place as needed.) HA= p Determine the standard deviation of the sampling distribution of p (Round to three decimal places as needed.). p
PRACTICE! A population consists of five values: 2, 3, 4, 5, and 6. A sample of size 2 is to be taken from the population. How many samples are possible? Construct the sampling distribution of the sample means. Compute for the mean and standard deviation of the sampling distribution.
Describe the sampling distribution of p. Assume the size of the population is 25,000. n=800, p=0.5 Choose the phrase that best describes the shape of the sampling distribution of p below. A. Approximately normal because n≤0.05N and np(1−p)<10. B. Approximately normal because n≤0.05N and np(1−p)≥10. C. Not normal because n≤0.05N and np(1−p)≥10. D. Not normal because n≤0.05N and np (1-p)<10
An online retailer would like to know whether the proportion of customers who visit the site and make a purchase is different than 50%. A simple random sample of customers is taken. The results of the sample are shown below.
Describe the sampling distribution of p. Assume the size of the population is 20,000. n= 900, p = 0.6 ..... Choose the phrase that best describes the shape of the sampling distribution of p below. O A. Not normal because ns0.05N 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.)
Complete parts (a) through (e) for the population data below. 2, 4, 6 d. For each of the possible sample sizes, find the probability that the sample mean will equal the population mean. n Probability 1 1 3 2 3 3 1 (Type integers or simplified fractions.) e. For each of the possible sample sizes, find the probability that the sampling error made in estimating the population mean by the sample mean will be 0.5 or less (in magnitude), that is, that the absolute value of the difference between the sample mean and the population mean is at most 0.5. n 1 2 3 Probability (Type integers or simplified fractions.)
need help with B, C, D
Describe the sampling distribution of p. Assume the size of the population is 20,000. n = 500, p=0.8 Choose the phrase that best describes the shape of the sampling distribution of p below. A. Approximately normal because n ≤0.05N and np(1-p) ≥ 10. B. Not normal because n ≤ 0.05N and np(1-p) 2 10. C. Not 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. (Round to one decimal place as needed.) на =
36
STATISTICS AND PROBABILITY Multiple Choice! No long explaantion needed. THUMBS-UP will be given! Which statement(s) is/are FALSE? A. The mean of the sampling distribution of the sample mean is equal to the sample mean. B. The standard error of the sample mean is not affected by the sample size. A. both A and B B. neither A nor B C. A D. B
Determine whether the statement is true or false. If it is false, rewrite it as a true statement. A sampling distribution is normal only if the population is normal. Choose the correct answer below O A. The statement is false. A sampling distribution is never normal. O B. The statement is false. A sampling distribution is normal only if n230. O C. The statement is true. O D. The statement is false. A sampling distribution is normal if either n230 or the population is normal. Click to select your answer. ... acer
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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