Question

Which of the following conditions implies that the Central Limit Theorem can be applied? A. The...

Which of the following conditions implies that the Central Limit Theorem can be applied?
A. The population is approximately normally distributed
B. The sample is approximately normally distributed
C. σ is not known
D. μ is not known
E. μ is known

Which of the following conditions implies that the Central Limit Theorem can be applied?
A. The sample is approximately normally distributed
B. The sample size is at least 30
C. μ is not known
D. σ is not known
E. μ is known

μx¯ is
A. the mean of the sample means
B. the standard deviation of the sample means
C. the sampling distribution of the sample mean
D. the standard error of the mean

0 0
Add a comment Improve this question Transcribed image text
Answer #1

Solution,

Which of the following conditions implies that the Central Limit Theorem can be applied
A. The population is approximately normally distributed

Which of the following conditions implies that the Central Limit Theorem can be applied

B. The sample size is at least 30

μx¯ is

C. the sampling distribution of the sample mean

Add a comment
Know the answer?
Add Answer to:
Which of the following conditions implies that the Central Limit Theorem can be applied? A. The...
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. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions
  • Choose all that are true about the central limit theorem a. sample size is important when...

    Choose all that are true about the central limit theorem a. sample size is important when the population is not normally distributed b. the sampling distribution of the sample means will be skewed positively or negatively c. the sampling distribution of the sample means is approximately normally distributed d. the population mean and the mean of all sample means are equal PLEASE DO NOT ANSWER IF YOU DO NOT KNOW. I need to learn from these questions that I do...

  • The Central Limit Theorem tells us that the sampling distribution of the sample mean can be...

    The Central Limit Theorem tells us that the sampling distribution of the sample mean can be approximated with a normal distribution for “large”n as n gets bigger, the sample data becomes more like the normal distribution if the data comes from an (approximately) normally distributed population, then the sample mean will also be (approximately) normally distributed the minimum variance unbiased estimator is the "best" estimator for a parameter

  • The Central Limit Theorem (CLT) implies that: A: the mean follows the same distribution as the...

    The Central Limit Theorem (CLT) implies that: A: the mean follows the same distribution as the population B: repeated samples must be taken to obtain normality C: the population will be approximately normal if n ≥ 30 D: the distribution of the sample mean will be normal with large n

  • For each of the following give the name of the sampling method The Central Limit Theorem...

    For each of the following give the name of the sampling method The Central Limit Theorem (CLT) is one of the most important theorems in Statistics. Determine if each of the following statements about the Central Limit Theorem is Valid or Invalid. Write a sentence to explain your answer. a) The average (center) of all the random sample means will be a good (3pts) b) The distribution of random sample means is normally distributed for (3pts) c) The CLT only...

  • Use the central limit theorem to find the mean and standard error of the mean of...

    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 105 pounds and a standard deviation of 37.3 pounds. Random samples of size 20 are drawn from this population and the mean of each sample is determined.

  • Use the central limit theorem to find the mean and standard error of the mean of...

    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 120 pounds and a standard deviation of 39.7 pounds. Random samples of size 18 are drawn from this population and the mean of each sample is determined. 0

  • Use the central limit theorem to find the mean and standard error of the mean of...

    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 (optional) The per capita consumption of red meat by people in a country in a recent year was normally distributed, with a mean of 106 pounds and a standard deviation of 39.5 pounds. Random samples of size 19 are drawn from this population and the mean of each sample is determined

  • Central Limit Theorem for Means/Calculator Understand sampling distributions and the Central Limit Theorem for Means Question...

    Central Limit Theorem for Means/Calculator Understand sampling distributions and the Central Limit Theorem for Means Question A head librarian for a large city is looking at the overdue fees per user system wide to determine if the library should extend its lending period. The average library user has $19.67 in fees, with a standard deviation of $7.02. The data is normally distributed and a sample of 72 library users is selected at random from the population. Select the expected mean...

  • According to the central limit theorem, for samples of size 64 drawn from a population with...

    According to the central limit theorem, for samples of size 64 drawn from a population with μ = 800 and σ = 56, the standard deviation of the sampling distribution of sample means would equal 7 8 100 800 80

  • 4 The Sampling Distributions of Means and Proportions The Central Limit Theorem] Suggested Readin...

    4 The Sampling Distributions of Means and Proportions The Central Limit Theorem] Suggested Reading #6 (The Central Limit Theorem) 41 Ponder this and calculate: Consider all possible random samples of 5 in a class of 28 many different samples are there? Show your work (not as tedious as it appears) Note: Please continue to use the algebraic notation, as discussed in class, to obtain the answer e.9. Px<54) or P (x> 112)-1-P(x< 112)-1-Pizs ete. 4.2 A nurse supervisor has found...

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT