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
As sample sizes increases the standard deviation of the sampling distribution decreases indicating that the sample means cluster more tightly around the population mean.
As sample sizes _____________________, the standard deviation of the sampling distribution decreases indicating that the sample...
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.
The standard deviation of the sampling distribution of the sample mean is the same as the population standard deviation according to the Central limit Theorem. (Ch8) True False
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...
Sampling Distributions Given a sampling distribution of means, how are the mean and standard deviation determined (calculated)? If an original sampling is not normal, how many must we sample to say it is approximately normal? Given a sampling distribution of proportions, how are the mean and standard deviation determined (calculated)?
The distribution of sample means has the same mean as the underlying population, but the standard deviation differs. Use a real world scenario to explain why it makes sense the variation decreases as the sample size increases.
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
The two curves below represent the sampling distribution of the sample mean X for two different sample sizes: n = 256 and n = 576. In both cases the samples are selected from the same population. Note that the standard deviation for sampling distribution A is SD(X) = 8 and for sampling distribution B the standard deviation is SD(X) = 12. What is the standard deviation SD(X) of the population from which the samples are taken? A-8^2 B-(12+8)/2 C-13.86 D-12^2...
What you have Distribution of X. Find the mean and standard deviation of Sampling Distribution. To do this, click on: c STAT → BASIC STATISTICS → DISPLAY DESCRIPT STATISTICS On the input screen that appears, select C3 for the Variable. The results will be in the Session Window. Wait until after to print the Session Window.) a. How does the mean of C3 (x) compare to the mean of the original population, μ? Recall that the mean of the original...
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....