As the sample size decreases. what happens to the standard deviation of the sampling distribution of p̂?
a. |
It is impossible to tell. |
|
b. |
It increases. |
|
c. |
It decreases. |
|
d. |
It does not change. |
As the sample size decreases. what happens to the standard deviation of the sampling distribution of...
47. What happens to the mean and standard deviation of the distribution of sample means as the size of the sample decreases? A) The mean of the sample means stays constant and the standard error decreases. B) The mean of the sample means increases and the standard error stays. C) The mean of the sample means decreases and the standard error increases. D) The mean of the sample means stays constant and the standard error increases. 48. Find the critical value ze that corresponds to...
As sample sizes _____________________, the standard deviation of the sampling distribution decreases indicating that the sample means cluster more tightly around the population mean. increases change stay the same decreases
23. What is the effect of choosing a larger sample size for the sampling distribution? a mean increases, standard deviation unchanged b) mean decreases, standard c) mean unchanged, standard deviation increases d) mean unchanged, standard deviation decreases e) no effect
Describe how the shape and standard deviation of a sampling distribution changes as sample size increases. In other words, describe the changes that occur to a sampling distribution according to the Central Limit Theorem. Make sure you describe what a sampling distribution is in your answer. Generate pictures/diagrams to illustrate your thoughts if you would like.
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...
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....
The Law of Large Numbers describes what happens to the sample mean as the sample size gets very large. Which one of the below is a correct statement of the Law of Large Numbers? A. The sample mean tends to get closer to the population mean μ as the sample size increases. B. The mean of the sampling distribution of tends to get closer to m as the sample size increases. C. The sample mean increases as the sample size increases....
A sampling distribution is constructed based on a sample size of 25. If the sampling distribution has a mean of 500 and a standard error of 15, what is the standard deviation of the original comparison population? A. 60 B. 75 C. 30 D. 50
A random sample of size n = 40 is selected from a binomial distribution with population proportion p = 0.25. Describe the approximate shape of the sampling distribution of p̂. approximately normalskewed left uniformskewed right Calculate the mean and standard deviation (or standard error) of the sampling distribution of p̂. (Round your standard deviation to four decimal places.) mean standard deviation Find the probability that the sample proportion p̂ is between 0.15 and 0.41. (Round your answer to four decimal places.)
24. and the sampling distribution of the mean will have relatively As sample size increases, σ little dispersion resulting in sample means falling relatively a) increases, far from b) decreases, far irom c) increases, close to( d) decreases, close to e) none the population mean.