A. Variance > mean
B. Mean < variance
C. Variance ≠ mean
D. None of these
Related Mcqs:
- if in a binomial probability distribution mean and variance are 6 and 2.4 respectively, then the parameters of this distribution are:____________________?
A. n = 10, p = 6/10
B. n = 50, p = 6/50
C. n = 10, p = 3/5
D. n = 10, p = 2/5 - 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 - In a binomial distribution mean and variance is _________________?
A. Variance > mean
B. Mean < variance
C. Variance ≠ mean
D. None of these - The mean and variance of binomial distribution are ______________?
A. Unequal
B. Equal
C. Symmetrical
D. None - In binomial distribution with ________ trials mean is np and variance is npq?
A. Dependent
B. Independent
C. Linear
D. Equal - In a binomial distribution, n = 20 and p = 3/5, then variance of this distribution ______________?
A. 60
B. 12
C. 4.8
D. 0 - The variance of binomial distribution is always:________________?
A. Less than mean
B. Equal to mean
C. Greater than mean
D. Equal to standard deviation
E. None of these - If a Binomial experiment is repeated ‘N’ times then binomial frequency distribution is. _______________?
A. N.{nx}px qn-x
B. N p q
C. N.{n/x}px qn-x
D. N.{n/x}p qn-x - 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. - If mean and variance are not equal then distribution ________________?
A. None
B. Symmetrical
C. Skewed
D. Equal
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