Question

1. The Central Limit Theorem tells us that as the sample size increases, the center of...

1. The Central Limit Theorem tells us that as the sample size increases, the center of the sampling distribution of x ̅ ____________.

a. increases

b. decreases

c. stays the same

2. The Central Limit Theorem tells us that as the sample size increase, the spread of the sampling distribution of x ̅ ____________.

a. increases

b. decreases

c. stays the same

3. What is the best way we know to generate data that give a fair and accurate picture of the world we rely on? It is also why we are able to draw conclusions from that data.

Homework Answers

Answer #1

1. The Central Limit Theorem tells us that as the sample size increases, the center of the sampling distribution of x ̅

Correct ans: c. stays the same

Only spread will change(decrease) and central tendency will be more accurate.

2. The Central Limit Theorem tells us that as the sample size increase, the spread of the sampling distribution of x ̅

Correct ans :b. decreases

As accuracy will increase the spread of the sampling distribution x ̅

Dear student you last question is not clear what have you posted. Please comment with good English.(to be meaningful). 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
The Central Limit Theorem allows us to make predictions about where a sample mean will fall...
The Central Limit Theorem allows us to make predictions about where a sample mean will fall in a distribution of sample means. One way it does this is by explaining (using a formula) how the shape of the distribution will change depending on the sample size. What part of the Central Limit Theorem tells us about the shape of the distribution? The part that explains that there is no standardized table you can use to find probabilities once you use...
The Central Limit Theorem suggests that as the sample size increases the distribution of the sample...
The Central Limit Theorem suggests that as the sample size increases the distribution of the sample averages approaches a normal distribution, regardless of the nature of the distribution of the variable itself. true or false
True or False. The central limit theorem states that as the number of sample size increases,...
True or False. The central limit theorem states that as the number of sample size increases, the distribution of the sample means approximates to a normal distribution.
Question Central Limit Theorem a)According to the Central Limit Theorem, what are the mean and standard...
Question Central Limit Theorem a)According to the Central Limit Theorem, what are the mean and standard deviation of the sampling distribution of sample means? b)A population has a mean ?=1800 and a standard deviation ?=40. Find the mean and standard deviation of the sampling distribution of sample means when the sample size n=100.
a) What is the Central Limit Theorem? It is always true that as the sample size,...
a) What is the Central Limit Theorem? It is always true that as the sample size, n, increases, the distribution of the sample means will be approximately normally distributed. Explain b) If the underlying population of study is not normally distributed, how large should the sample size be? What if the population is normally distributed ?
Which of the following statements is not consistent with the Central Limit Theorem? 1. The Central...
Which of the following statements is not consistent with the Central Limit Theorem? 1. The Central Limit Theorem applies to non-normal population distributions. 2. The standard deviation of the sampling distribution will be equal to the population standard deviation. 3. The sampling distribution will be approximately normal when the sample size is sufficiently large. 4. The mean of the sampling distribution will be equal to the population mean.
§ 1 Central Limit Theorem (CLT) 1. The CLT states: draw all possible samples of size...
§ 1 Central Limit Theorem (CLT) 1. The CLT states: draw all possible samples of size _____________ from a population. The result will be the sampling distribution of the means will approach the ___________________- as the sample size, n, increases. 2. The CLT tells us we can make probability statements about the mean using the normal distribution even though we know nothing about the ______________- 3. The standard error of the mean is the  ___________ of the sampling distribution of the...
Which of the following is NOT a conclusion of the Central Limit​ Theorem? Choose the correct...
Which of the following is NOT a conclusion of the Central Limit​ Theorem? Choose the correct answer below. A. The distribution of the sample means x overbar ​will, as the sample size​ increases, approach a normal distribution. B. The mean of all sample means is the population mean mu. C. The distribution of the sample data will approach a normal distribution as the sample size increases. D. The standard deviation of all sample means is the population standard deviation divided...
The Central Limit Theorem is used when dealing with: mean from a sample, individual data point...
The Central Limit Theorem is used when dealing with: mean from a sample, individual data point ,chi-squared distributions, or sampling distribution of a standard deviation? When using the CLT, we use σ √ n for the: standard deviation for individual values, mean for the sample, standard deviation of the sample means, or sample size?
According to the central limit theorem, if a sample of size 81 is drawn from a...
According to the central limit theorem, if a sample of size 81 is drawn from a population with a variance of 16, the standard deviation of the distribution of the sample means would equal _______. .98 .44 .68 .87 .75
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT