### Determine the Truth of the Statement**Statement to Evaluate:**"A sampling distribution is normal only if the population is normal."**Instructions:**Choose the correct answer below.**Options:**- **A.** The statement is true.- **B.** The statement is false. A sampling distribution is normal if either $ n \geq 30 $ or the population is normal.- **C.** The statement is false. A sampling distribution is normal only if $ n \geq 30 $.- **D.** The statement is false. A sampling distribution is never normal.

given statement: A sampling distribution is normal only if the population is normal. we have to…

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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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.)
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
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.)
B. Direction: Read each statement carefully. Write the of the correct answer on the blank provided. A. (H, T) 1. What is the sample space when a coin is tossed once? B. (h,T), (t, H), (t, T) C. ((T, H), (t, H), (T, h) D. ((T,h), (h,H), (T,T)) 2. What is the n(S) when a pair of dice is rolled? A. 2 B. 6 C. 12 D. 36 3. It is a subset of the sample space. A. Outcome B. result C. event D. probability experiment 4. The color wheel at the right is spun. Assume that the arrow will never fall on the lines separating the sectors. What is the sample Space?. A. S = (red, yellow, green, blue) C. S fred, green, blue) Vellow Blue Green Red B. S fred, yellow, green) D. S green, blue) 5. A drawer has 5 blue ties, 2 red ties, and 3 red ties. A tie is picked at random. What is the total number of possible outcomes? A. n(S) = 2 B. n(S) = 3 C. n(S) = 5 D. n(S) = 10
der Describe the shape of the distribution. OA. The distribution is uniform. O B. The distribution is skewed to the right. OC. The distribution is skewed to the left. OD. The distribution is bell shaped.
ts Apply Chebyshev's Theorem to find the least possible fraction of the numbers in a data set lying within standard deviations of the mean. adeboc At least of all numbers must lie within standard deviations from the mean. source (Type an integer or a simplified fraction.) ath Re Resour Options cation T Enter your answer in the answer box. ヘ。 Assignments - Goo.. P Take a Test - Genov... DELL prt sc F10 home F11 end F1 F8 F9 F6 F7 F5 F3 F4 F2 & 23 $4 7 8 3 4 R T つ %24
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)
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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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