A. n is fixed
B. Has two outcomes
C. Trials are independent
D. Probability of success varies from trial to trial
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 - 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 - Which of the following is not a condition of the binomial distribution ?
A. Only 2 possible outcomes
B. Have constant probability
C. Must have at least 3 trials
D. Trials must be independent - 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. - The binomial distribution is symmetrical when:______________?
A. P > q
B. P = 1/2
C. Probability of success & probability of failure are equal
D. Both (b) & (c) but not (a)
