Which of the following statements is NOT true about Central Limit Theorem?A. The population mean and the mean of the sampling distribution of the meansare equal.B. If you take repeatedly independent random samples of size n from anypopulation, then when n is large, the distribution of the sample means willapproach a normal distribution.C. The central limit theorem tells us exactly what the shape of the distribution ofthe means will be when we draw repeated samples from a given population.D. The mean of the sampling distributions of the means, the standard deviationof the sampling distribution of the means, and variance is the same as thepopulation means, variance of the population, and standard deviation.9 Consider the nonulation consisting of values 046) Ligt oll tl.int

The aim of the objective is to identify the appropriate option, by interpreting the Central Limit…

Answered: Which of the following statements is…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Q.5 What are the properties of a distribution function?
2% of the world population is naturally blond. In a random sample of 100 people, the proportion of natural blonds is found. The sampling distribution of is O A. approximately normal because p is always approximately normal O B. not approximately normal because np 5
Direction: Solve the given problems completely and correctly. 1. A population consists of the three numbers 1, 2, and 4. List all the possible samples of size n =2 whicE can be drawn with replacement from the population. Find the following: a Population mean b. Population variance C. Population standard deviation. d. Mean of the sampling distribution of sample means e. Variance of the sampling distribution of sample means f Standard deviation of the sampling distribution of sample means
Briefly explain how increasing sample size influences each of the following. Assume that all other factors are held constant. Does tach increase, decrease, or stay the same? (M-u) (M-u)Vn The size of the Z-score Z. = M-u – OM (M-u) The size of Cohen's d d = (Mcr-u) (Mcr-u)vn The power P( 2Z> Mcritical-µu
Solve normal distribution problem #11
A variable of a population has a mean of u 200 and a standard deviation of o = 42. a. The sampling distribution of the sample mean for samples of size 49 is approximately normally distributed with mean b. For part (a) to be true, what assumption did you make about the distribution of the variable under consideration? A. No assumption was made. B. Normal distribution. C. Uniform distribution. c. Is the statement in part (a) still true if the sample size is 16 instead of 49? Why or why not? A. No. Because the distribution of the variable under consideration is not specified, a sample size of at least 30 is needed for part (a) to be true. O B. Yes, the sampling distribution of the sample mean is always normal. and standard deviation C. No, the sampling distribution of the sample mean is never normal for sample size less than 30.
For the population proportion is… (select answer) Skewed right Uniform Approximately normal Skewed left With the… (select answer) True population proportion True population mean True population standard deviation As it’s… (select answer) Proportion Mean Standard deviation
D, E, F only
Q6
A variable of a population has a mean of μ=100 and a standard deviation of σ=42 a. The sampling distribution of the sample mean for samples of size 49 is approximately normally distributed with mean ____ and standard deviation ____ b. For part (a) to be true, what assumption did you make about the distribution of the variable under consideration?A. Normal distribution.B. No assumption was made.C. Uniform distribution. c. Is the statement in part (a) still true if the sample size is 16 instead of 49? Why or why not?A. No, the sampling distribution of the sample mean is never normal for sample size less than 30.B. No. Because the distribution of the variable under consideration is not specified, a sample size of at least 30 is needed for part (a) to be true.C. Yes, the sampling distribution of the sample mean is always normal.
Q2. Suppose X and S2are the sample mean and sample variance associated with a random sample of size n = 16 from a N (u = 50, o? =81) distribution. Find the value of the constants b and c such that they satisfy the following statement X-50 (a) P스
L. As a general rule of thumb, if the items selected for a sample are not replaced and the sample size is less than 5 percent of the population, the binomial distribution can be used to approximate the hypergeometric distribution, il. If the probability of success does not remain the same from trial to trial when sampling is done without replacement, the hypergeometric distribution should be applied. I. In the hypergeometric distribution the probability of a success is not the same on each trail. Multiple Choice (0.00, and (i) are all false statements. () and () are correct statements but not (0. 00 and (i) are correct statements but not ()

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc

Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning

MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc

Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning

Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON

The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman

Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman

SEE MORE TEXTBOOKS