The standard deviation of sample means and the standard deviation of a sample are related such that...
a. none of the answers are correct
b. The standard deviation of sample means is the standard deviation of the sample divided by the sample n
c. they are the same
d. The standard deviation of sample means is the sample mean divided by the sample n
Standard deviation of sample mean
=
/ sqrt(n)
That is the standard deviation of sample means is the standard deviation of the sample divided by the sqrt(n) .
None of the answers are correct .
The standard deviation of sample means and the standard deviation of a sample are related such...
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...
Find the standard deviation of the sampling distribution of sample means if μ = 582.0, σ = 23.6, and n = 1201. Possible Answers: A. 23.6 B. 0.68 C. 0.02 D. 1.14
Same as above, the standard deviation of the sample means is equal to: a) 2.45 22. What is the effect of choosing a larger sample size for the sampling distribution? a) mean increases, standard deviation unchanged 23.
The population standard deviation a. is always the same as the sample standard deviation. b. measures something different than the sample standard deviation. c. corresponds to the median of the population. d. is usually known. e. affects the dispersion in the sampling distribution of the sample mean
Which of the following is a true statement for any population with mean μ and standard deviation σ? I. The distribution of sample means for sample size n will have a mean of μ. II. The distribution of sample means for sample size n will have a standard deviation of. III. The distribution of sample means will approach a normal distribution as n approaches infinity.
If selecting samples of size n≤30 from a population with a known mean and standard deviation, what requirement, if any, must be satisfied in order to assume that the distribution of the sample means is a normal distribution? A) The population must have a normal distribution. B) The population must have a mean of 1. C) The population must have a standard deviation of 1. D) None; the distribution of sample means will be approximately normal.
A population has a mean of 53 and a standard deviation of 21. A sample of 81 observations will be taken The probability that the sample mean will be greater than 57.95 is None of the alternative answers is correct. 0495 4505 0.017
sample 40 items, what would be the standard error on is normally distributed and the means 155 with a standardov oms, what would be the standard error of the sample mean duen dve moon is 155 with a standard deviation of 35, if we were .875 1.143 5.534 6.325 None of the Above in distribution? carger values of the standard deviation result in a normal curve that is a shifted to the right b. shifted to the left narrower and...
35. Assume that women’s heights are normally distributed with mean 63.6 inches and standard deviation 2.5 inches. Find the value for the 3rd quartile Q3. A 65.3 in B 66.1 in C 65.2 in D 64.3 in E None of the above 36. Assume a Normal Distribution with mean µ = 98.7 and IQR = 0.50. Find the standard deviation. A. 0.37 B. 0.25 C. 0.50 D. 1.50 E. none of the above 37. If a population is normally distributed,...
How do you find standard deviation once you know variance? a. take the square root of variance b. square variance c. they are the same d.Variance minus 1 equals standard deviation This is the equation for population variance ______ a. Sum of Squares divided by N SS/N b. Sum of Squares divided by N plus one SS/N+1 c. Sum of Squares divided by N minus one SS/N-1 d. It is the same for sample variance You would use this equation...