Question

Which of the following statements is CORRECT about the sampling distribution of the sample mean: A....

Which of the following statements is CORRECT about the sampling distribution of the sample mean:

A. The standard error of the sample mean is a measure of the frequency among repeated samples.

  • B. The standard error of the sample mean will decrease as the sample size increases.
  • C. The standard error of the sample is completely unrelated to the sample size.
  • D. The standard error of the sample mean will increase as the sample size increases.
0 0
Add a comment Improve this question Transcribed image text
Answer #1

Answer : Option ( C )

  • The standard error of the sample mean  is completely unrelated to the sample size.
Add a comment
Know the answer?
Add Answer to:
Which of the following statements is CORRECT about the sampling distribution of the sample mean: A....
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
  • Which of the following statements about the sampling distribution of the sample mean, x-bar, is not...

    Which of the following statements about the sampling distribution of the sample mean, x-bar, is not true? The distribution is normal regardless of the shape of the population distribution, as long as the sample size,n, is large enough. The distribution is normal regardless of the sample size, as long as the population distribution is normal. The distribution's mean is the same as the population mean. The distribution's standard deviation is smaller than the population standard deviation. All of the above...

  • Which of the following statements about the sampling distribution of the sample mean, x-bar, is not...

    Which of the following statements about the sampling distribution of the sample mean, x-bar, is not true? The distribution is normal regardless of the shape of the population distribution, as long as the sample size, n, is large enough. The distribution is normal regardless of the sample size, as long as the population distribution is normal. The distribution's mean is the same as the population mean. The distribution's standard deviation is smaller than the population standard deviation. All of the...

  • Which one of the following is a definition of a sampling distribution? A. The frequency distribution...

    Which one of the following is a definition of a sampling distribution? A. The frequency distribution of a statistic based on repeated sampling. B. The frequency distribution of a parameter based on the population. C. The distribution of a random sample based on a statistic. D. The distribution of a sample based on the characteristics of the population. A drugmaker is testing the effectiveness of a new cancer drug. Similar to many new drugs, this chemotherapy drug has significant side...

  • Which of the following is not correct? For samples of any size N, the sampling distribution...

    Which of the following is not correct? For samples of any size N, the sampling distribution of the mean _____. a. has a mean equal to the mean of the raw-score population. b. is normally shaped, depending on the shape of the raw-score population and on the sample size, N. c. has a standard deviation equal to the standard deviation of the raw-score population divided by N. d. is a distribution of scores, each score of which is a sample...

  • regarding the distribution of sample means which of the following statements is false the standard error of distributi...

    regarding the distribution of sample means which of the following statements is false the standard error of distribution of sample means is a measure of the average distance of each sample mean from the larger population the distribution of sample means shows how smaller sample means are distributed around a lsrger sample mean the distribution of sample means shows how different samples from a population will vary to some extent thevstandard error of the distribution of sample means will increase...

  • Which of the following statements is true about the standard deviation of X? A. It increases...

    Which of the following statements is true about the standard deviation of X? A. It increases as the sample size n increases. B. It decreases as the sample size n increases. C. It changes each time a new sample is draw D. It does not change as the sample size n increases The standard deviation of the sampling distribution for a sample mean depends on the value(s) of A. neither the sample size nor the population standard deviation B. the...

  • The batteries produced in a manufacturing plant have a mean time to failure of 30 months,...

    The batteries produced in a manufacturing plant have a mean time to failure of 30 months, with a standard deviation of 2 months. I select a simple random sample of 400 batteries produced in the manufacturing plant. I test each and record how long it takes for each battery to fail. I then compute that the average failure time of the 400 batteries is 29.9 months with a standard deviation of 2.15 months. In this scenario, the value 29.9 is:...

  • 1. Which of the following statements is true about the standard deviation of X¯? A. It...

    1. Which of the following statements is true about the standard deviation of X¯? A. It increases as the sample size n increases. B. It decreases as the sample size n increases. C. It changes each time a new sample is drawn. D. It does not change as the sample size n increases. 2. The standard deviation of the sampling distribution for a sample mean depends on the value(s) of A. neither the sample size nor the population standard deviation....

  • 1. Select all true statements about sample mean and sample median. A) When the population distribution...

    1. Select all true statements about sample mean and sample median. A) When the population distribution is skewed, sample mean is biased but sample median is an unbiased estimator of population mean. B) When the population distribution is symmetric, both mean and sample median are unbiased estimators of population mean. C) Sampling distribution of sample mean has a smaller standard error than sample median when population distribution is normal. D) Both mean and median are unbiased estimators of population mean...

  • Which of the following is true about the sampling distribution of means? Shape of the sampling...

    Which of the following is true about the sampling distribution of means? Shape of the sampling distribution of means is always the same shape as the population distribution, no matter what the sample size is. Sampling distribution of the mean is always right skewed since means cannot be smaller than 0. Sampling distributions of means are always nearly normal. Sampling distributions of means get closer to normality as the sample size increases.

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