On This Page

This set of Quantitative Techniques for Business Multiple Choice Questions & Answers (MCQs) focuses on Quantitative Techniques For Business Set 4

Q1 | Classical probability is also called .........................
  • priori probability
  • mathematical probability
  • finite set
  • none of these
Q2 | The relative frequency approach is also called ................................
  • empirical approach
  • statistical probability
  • apsteriori probability
  • all the above
Q3 | When P(AUB) = P(A) + P(B), then A and B are .............................
  • dependent
  • independent
  • mutually exclusive
  • none of these
Q4 | When two events cannot occur together is called ........................
  • equally likely
  • mutually exclusive
  • random events
  • none of these
Q5 | If two sets have no common element, they are called ....................
  • subset
  • super set
  • disjoint set
  • equal set
Q6 | Two events are said to be ..................... , if any one of them cannot be expected to occur inpreference to the other.
  • equally likely
  • mutually exclusive
  • dependent
  • none of them
Q7 | Two events are said to be independent if ........................
  • there is no common point in between them
  • both the events have only one point
  • each outcome has equal chance of occurrence
  • one does not affect the occurrence of the other
Q8 | Probability of an event lies between ................................
  • +1 and -1
  • 0 and 1
  • 0 and -1
  • 0 and infinite
Q9 | Probability of sample space of a random experiment is ............................
  • -1
  • 0
  • +1
  • between 0 and +1
Q10 | In tossing a coin , getting head and getting tail are ............................................
  • mutually exclusive events
  • simple events
  • complementary events
  • all the above
Q11 | If two events, A and B are mutually exclusive, then P(AUB) = .........................
  • p(a) + p(b)
  • p(a) + p(b) - p(a and b)
  • p(a) + p(b) + p(a and b)
  • none of these
Q12 | If two events, A and B are not mutually exclusive, the P(AUB) = ..................
  • p(a) + p(b)
  • p(a) + p(b) - p(a and b)
  • p(a) + p(b) + p(a and b)
  • none of these
Q13 | An event consisting of those elements which are not in the given event is called.............
  • simple event
  • derived event
  • complementary event
  • none of these
Q14 | The definition of priori probability was originally given by ............................
  • de-moivre
  • laplace
  • pierre de fermat
  • james bernoulli
Q15 | ........................ refers to the totality of all the elementary outcomes of a random experiment.
  • sample point
  • sample space
  • simple event
  • none of these
Q16 | The sum of probabilities of all possible elementary outcomes of a random experiment isalways equal to ...................
  • 0
  • 1
  • infinity
  • none of these
Q17 | Chance for an event may be expressed as .................
  • percentage
  • proportion
  • infinity
  • none of these
Q18 | If it is known that an event A has occurred, the probability of an event B given A is called............................
  • empirical probability
  • conditional probability
  • priori probability
  • posterior probability
Q19 | The mean of a binomial distribution is ...........................
  • np
  • npq
  • square root of npq
  • none of these
Q20 | Binomial distribution is a ................................ probability distribution
  • discrete
  • continuous
  • continuous distribution
  • none of these
Q21 | Binomial distribution is originated by ..................................
  • prof. karl pearson
  • simeon dennis poisson
  • james bernoulli
  • de-moivre
Q22 | When probability is revised on the basis of all the available information, it is called .............
  • priori probability
  • posterior probability
  • continuous
  • none of these
Q23 | Baye’s theorem is based upon inverse probability.
  • yes
  • no
  • probability
  • none of these
Q24 | Probability distribution is also called theoretical distribution.
  • yes
  • no
  • probability
  • none of these
Q25 | The height of persons in a country is a .......................... random variable.
  • discrete
  • continuous
  • discrete as well as continuous
  • neither discrete nor continuous