Top 150+ Solved Quantitative Techniques for Business MCQ Questions Answer
Q. The sum of probabilities of all possible elementary outcomes of a random experiment isalways equal to ...................
a. 0
b. 1
c. infinity
d. none of these
Q. Chance for an event may be expressed as .................
a. percentage
b. proportion
c. infinity
d. none of these
Q. If it is known that an event A has occurred, the probability of an event B given A is called............................
a. empirical probability
b. conditional probability
c. priori probability
d. posterior probability
Q. The mean of a binomial distribution is ...........................
a. np
b. npq
c. square root of npq
d. none of these
Q. Binomial distribution is a ................................ probability distribution
a. discrete
b. continuous
c. continuous distribution
d. none of these
Q. Binomial distribution is originated by ..................................
a. prof. karl pearson
b. simeon dennis poisson
c. james bernoulli
d. de-moivre
Q. When probability is revised on the basis of all the available information, it is called .............
a. priori probability
b. posterior probability
c. continuous
d. none of these
Q. Probability distribution is also called theoretical distribution.
a. yes
b. no
c. probability
d. none of these
Q. The height of persons in a country is a .......................... random variable.
a. discrete
b. continuous
c. discrete as well as continuous
d. neither discrete nor continuous
Q. Random variable is also called ..............................
a. stochastic variable
b. chance variable
c. both
d. none of these
Q. If the random variable of a probability distribution assumes specific values only, then it iscalled ...............................
a. discrete probability distribution
b. continuous probability distribution
c. probability distribution
d. none of these
Q. npq is the variance of ....................................
a. binomial distribution
b. poisson distribution
c. probability distribution
d. none of these
Q. For a binomial distribution with probability p of a success and of q of a failure, the relationbetween mean and variance is .............................
a. mean is less than variance
b. mean is greater than variance
c. mean is equal to variance
d. mean is greater than or equal to variance
Q. In a binomial distribution, if n =8 and p = 1/3, then variance = ........................
a. 8/3
b. 48/3
c. 64/3
d. 16/9