A. None
B. Symmetrical
C. Skewed
D. Equal
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 - 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. - In a binomial distribution mean and variance is ________________?
A. Variance > mean
B. Mean < variance
C. Variance ≠ mean
D. None of these - 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 - 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 - The mean of a distribution is 23, the median is 24, and the mode is 25.5. It is most likely that this distribution is_____________?
A. Positively Skewed
B. Symmetrical
C. Asymptotic
D. Negatively Skewed
