A. Small values only
B. Large values only
C. Extreme values only
D. All values
Related Mcqs:
- 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 variance of 5 numbers is 10. If each number is divided by 2, then the variance of new numbers is______________?
A. 20
B. 5
C. 2.5
D. 5.5
E. 0 - Suppose for 40 observations, the variance is 50. If all the observations are increased by 20, the variance of these increased observation will be______________?
A. 50
B. 70
C. 50/20
D. 50-20 = 30
E. 50 - 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 - Combine mean calculated by different given mean is ________?
A. n1x1 + n2x2x + _____ nuxu/n1 +n2 + ___ + nu
B. n1x1 + n2x2x + _____ nuxu/x1 + x2 + ____ x4
C. n1x1 + n2x2x + _____ nuxu/n1 + n2 + ___+ nu
D. ∑n1x/x1 - The mean and variance of binomial distribution are ______________?
A. Unequal
B. Equal
C. Symmetrical
D. None - If mean and variance are not equal then distribution ________________?
A. None
B. Symmetrical
C. Skewed
D. Equal - In a binomial distribution mean and variance is ________________?
A. Variance > mean
B. Mean < variance
C. Variance ≠ mean
D. None of these - If mean of the binomial probability distribution is 4.8, then variance of this distribution is :_______________?
A. -2.3
B. 5.3
C. -4.8
D. 2.3 - Mean deviation, Variance and Standard Deviation of the values 4,4,4,4,4,4 is_______________?
A. 4
B. 8
C. 2
D. 0
