A. The mean and variance of the distribution are same (equal)
B. The probability of success is always greater than 5
C. The number of trials is always less than 5
D. it always contains a contingency table
Related Mcqs:
- The hypergeometric probability distribution is used rather than the binomial or Poisson when the sampling is performed ?
A. With replacement
B. With out replacement from an infinite population
C. With out replacement from a finite population
D. With replacement from a finite population - A sampling distribution is the probability distribution for which one of the following___________?
A. A sample
B. A sample statistic
C. A population
D. A population parameter - 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 - Normal distribution is a probability distribution of _____ random variable?
A. Continuous
B. Constant
C. Discrete
D. Normal - 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. - For a probability density function (pdf), the probability of a single point is_____________?
A. 1
B. 2
C. 0
D. Constant - Which of the following is not an example of a discrete probability distribution ?
A. The sale or purchase price of a house
B. The number of bedrooms in a house
C. Whether or no t a home has a swimming pool in it.
D. Non of these - Probability distribution of a random variable is also know as Probability_________________?
A. Probability Function
B. Distribution Function
C. Probability Distribution
D. Probability Density Function - Binomial probability distribution is denoted by b(x ; n, p), is defined as _______________?
A. {nx}px qn-x
B. {nx}px(1 – P)x-n
C. nCxpnqnx
D. {nx}p(1 – P)x
