By the Central Limit Theorem, the sampling distribution of (x, - x3) isO A. approximately normal for large samples.O B. approximately a t-distribution for large samples.OC. approximately skewed for large samples.O D. approximately normal for small samples.

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Answered: By the Central Limit Theorem, 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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The Central Limit Theorem says that the standard deviation of the sampling distribution of the sample means is (A exactly equal to the standard deviation. (B close to the population mean if the sample size is small close to the population standard deviation if the sample size is large. equal to the population standard deviation divided by the square root of the sample D size.
Just B please
Use the central limit theorem to find the mean and standard error of the mean of the indicated sampling distribution. Then sketch a graph of the sampling distribution. The per capita consumption of red meat by people in a country in a recent year was normally distributed, with a mean of 117 pounds and a standard deviation of 39.4 pounds. Random samples of size 15 are drawn from this population and the mean of each sample is determined. 4-0 0 = (Round to three decimal places as needed.) Sketch a graph of the sampling distribution. Choose the correct graph below. O A. A 96.7 117 137.3 Q O B. A 340.8 10.2 361.2 Q Q ww ^ A -106.8 10.2 127.2 86.5 117 147.5 O C. O D. Q
Q2. The sampling distribution of means tends toward Normality only when the underlying populations is Normal. This is true of Central Limit Theorem. TrueB. FalseC. None of the above
with solution pls
In the distribution with u = 35 and o = 6, a score of X = 50 correspond to z =
Use the central limit theorem to find the mean and standard error of the mean of the indicated sampling distribution. Then sketch a graph of the sampling distribution. The per capita consumption of red meat by people in a country in a recent year was normally distributed, with a mean of 113 pounds and a standard deviation of 37.7 pounds. Random samples of size 20 are drawn from this population and the mean of each sample is determined.
Q.7
Which of the following descriptions best illustrate the central limit theorem? I. The central limit theorem is used to approximate the distribution of the sample mean over the distribution of the population mean. II. The central limit theorem is used to conclude that the distribution of the sample mean will be normal if the sample size is sufficiently large even if the population is not normally distributed. III. The central limit theorem is used to describe the normality of the distribution of standard deviation taken from a variance that is not normally distributed. a. I and II b. I only c. I, II, III d. II only
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A sample of 34 observations is taken from a population that has 150 elements. The sampling distribution of x̄ is: approximately normal if the population is not highly skewed. approximately normal because of the central limit theorem. approximately normal only if the population is normally distributed. approximately normal because x̄ is always approximately normally distributed.

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By the Central Limit Theorem, the sampling distribution of (x, - x2) is A. approximately normal for large samples. B. approximately a t-distribution for large samples. C. approximately skewed for large samples. O D. approximately normal for small samples.