Question

If a population is normally distributed, the distribution of the sample means for a given sample...

If a population is normally distributed, the distribution of the sample means for a given sample size n will
A. be positively skewed
B. be negatively skewed
C. be uniform
D. be normal      
E. none of the above

If a population is not normally distributed, the distribution of the sample means for a given sample size n will
A. take the same shape as the population          
B. approach a normal distribution as n increases
C. be positively skewed
D. be negatively skewed
E. none of the above

Homework Answers

Answer #1

Let x1,x2,.................,xn follows normal distribution with mean and variance .

Then

  

which also follows normal distribution with mean and variance

Hence , if a population is normally distributed, the distribution of the sample means for a given sample size n will be normal.

----------------------------------------------------------------------------------------------------------------------------------

Clearly, for x1,x2,.................,xn be random sample drawn from a distribution,then,

which tends to normality as n tends to

Hence,

If a population is not normally distributed, the distribution of the sample means for a given sample size n will  approach a normal distribution as n increases.

-------------------------------------------------------------------------------------------------------------------------

PLEASE UPVOTE IF YOU LIKE MY ANSWER.

THANK YOU.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
38. If a population is not normally distributed, the distribution of the sample means for a...
38. If a population is not normally distributed, the distribution of the sample means for a given sample size n will A. take the same shape as the population                        B. approach a normal distribution as n increases C. be positively skewed D. be negatively skewed E. none of the above 39. A random sample of 66 observations was taken from a large population. The population proportion is 12%. The probability that the sample proportion will be more than 17% is...
Using the central limit theorem, what is the distribution of sample means when the population distribution...
Using the central limit theorem, what is the distribution of sample means when the population distribution is the following? Part (a) rectangular Part (b) normally distributed Part (c) positively skewed Part (d) nonmodal Part (e) multimodal Part (f) negatively skewed
Random samples of size n were selected from a normal population with the means and variances...
Random samples of size n were selected from a normal population with the means and variances given here. n = 25, μ = 12, σ2 = 9 Describe the shape of the sampling distribution of the sample mean. a. The distribution is normal b. The distribution is skewed left c. The distribution is bimodal d. The distribution is uniform e. The distribution is skewed right Find the mean and the standard error of the sampling distribution of the sample mean....
1.) if samples of very small size, n, (say n=2) are drawn from a normally distributed...
1.) if samples of very small size, n, (say n=2) are drawn from a normally distributed population, the distribution of the sample means is distributed as? a) skewed distribution b) not any particular distribution we have studied, but not skewed c) binomial distribution d) normal distribution ---- 2) if samples of very small size, n, (say n=2) are drawn from a uniformly distributed population, the distribution of the sample means is distributed as? a) skewed distribution b) not any particular...
When we can consider the Sampling distribution of the sample means as a Normal distribution? Choose...
When we can consider the Sampling distribution of the sample means as a Normal distribution? Choose 1 response : a. If the population is Normally distributed b. If there is no information about population distribution and sample size is 24 c. If the population is not Normally distributed and sample size is 24 d. If population is not Normally distributed but sample size n≥30
In a very large population, the distribution of annual income is skewed, with a long right...
In a very large population, the distribution of annual income is skewed, with a long right tail. We take a Simple Random Sample of n people from this population and record the mean annual income of the people in the sample. Use this information to answer questions a, b, and c.(a) If n = 6, we would expect the distribution of sample means to be A. skewed to the left. B. an approximately Uniform distribution. C. skewed to the right....
You started with a normally distributed population of extraversion scores. You are also interested in depression...
You started with a normally distributed population of extraversion scores. You are also interested in depression scores. The measure of depression is not normally distributed but skewed with a mean of M = 8.08 and a standard deviation of S.D = 6.22. According to the central limit theorem, what would you expect for the mean and standard deviation of the distribution of sample means for samples of a size of 25 from a positively skewed population with M = 8.08...
A simple random sample of size n is drawn from a population that is normally distributed....
A simple random sample of size n is drawn from a population that is normally distributed. The sample​ mean, x overbar​, is found to be 108​, and the sample standard​ deviation, s, is found to be 10. 1. A) Construct a 96​% confidence interval about μ if the sample​ size, n, is 24. 1. B) Construct a 96​% confidence interval about μ if the sample​ size, n, is 20. How does increasing the sample size affect the margin of​ error,...
A simple random sample of size n is drawn from a population that is normally distributed....
A simple random sample of size n is drawn from a population that is normally distributed. The sample​ mean, x​, is found to be 115​, and the sample standard​ deviation, s, is found to be 10. ​(a) Construct a 95​% confidence interval about μ if the sample​ size, n, is 22. ​(b) Construct a 95​% confidence interval about μ if the sample​ size, n, is 12. ​(c) Construct a 90​% confidence interval about μ if the sample​ size, n, is...
In each case, determine if the distribution of the sample mean (x-bar) is NORMALLY DISTRIBUTED, AT...
In each case, determine if the distribution of the sample mean (x-bar) is NORMALLY DISTRIBUTED, AT LEAST APPROXIMATELY NORMALLY DISTRIBUTED, or CANNOT BE DETERMINED. The population is known to be normally distributed, the sample size is n = 56. a) can not be determined b) at least approximately distributed c)normally distributed. The population distribution is not known, sample size is n = 100. a) can not be determined b) at least approximately distributed c)normally distributed. The population is known to...