Quantitative Techniques For Business Set 4
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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