A. n must assume a number between 1 and 20 or 25
B. p must be a multiple of 10
C. There must be at least 3 possible outcomes
D. None of these
Related Mcqs:
- 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 in binomial distribution p ≠ q, the distribution is:___________________?
A. Positively skewed
B. Negative skewed
C. May be positive skewed or negative skewed.
D. None of these - In a binomial distribution, n = 20 and p = 3/5, then variance of this distribution ______________?
A. 60
B. 12
C. 4.8
D. 0 - 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 - For a binomial distribution with n = 15 as p changes from. 50 toward. 05 the distribution will__________?
A. Become more positively skewed
B. Become more negatively skewed
C. Become symmetrical
D. All of the above. - 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 binomial distribution the probability of success remains __________ from trial to trial?
A. Constant
B. Varies
C. Four
D. Probability - Which of the following is not a requirement for binomial distribution ?
A. Constant Probability of Success
B. Only two possible outcomes
C. A fixed number of trials
D. Equally likely outcomes - A random variable X has binomial distribution with n = 10 and p = 0.3 then variance of X is:_____________________?
A. 10
B. 12
C. 2.1
D. 21
E. None
