A. Serious error
B. Dispersion
C. Standard error
D. Difference
Related Mcqs:
- The standard deviation of sampling distribution of a statistics is _________________?
A. Standard error of statistics
B. Sampling error of statistics
C. Sampling distribution of statistics
D. None of these - Random samples of size 17 are from a population that has 200 elements, a mean of 36, and a standard deviation of 8. which of the following best describes the from of the sampling distribution of the sample mean for this situation ?
A. Approximately normal because the sample size is small relative to the population size
B. Approximately normal because of the central limit theorem
C. Exactly
D. None of these alternatives is correct - If the standard deviation of the values 2, 4, 6, 8 is 2.58, then the standard deviation of the values 4, 6, 8, 10 is_______________?
A. 0
B. 2.58
C. 5
D. 4.66
E. 2.33 - If the standard deviation of the values 2,4,6,8 is 2.33, then the standard deviation of the values 4,6,8,10 is_____________?
A. 0
B. 2.58
C. 4.66
D. 2.33 - If in a sampling distribution of X the sample size is 25, what assumption must hold for the sampling distribution of X to be normal ?
A. Population distribution is normal
B. μ1 = μx
C. Population distribution is uniform
D. σx = σx /√n - If the sampled population has a normal distribution, when is the sampling distribution of the sample mean X also a normal distribution ?
A. Only when the sample size is at least 100.
B. Only when the sample size is smaller than 30
C. Always
D. Only when the sample size is at least 30. - Mean Deviation, Variance and Standard Deviation of the values 4, 4, 4, 4, 4, 4 is_________________?
A. 4
B. 8
C. 2
D. 12
E. 0 - The standard deviation is always _________ than mean deviation?
A. Greater
B. Less
C. Equal
D. None - If variance iv standard deviation is minimum if the deviation taken from______________?
A. Mode
B. Mean
C. Average
D. G.M. - Mean deviation, Variance and Standard Deviation of the values 4,4,4,4,4,4 is_______________?
A. 4
B. 8
C. 2
D. 0
