Decision Science | Chapter 5 | Part 3 | MBA MCQs | DS
Decision Science MCQs
1 / 20
- A collection of one or more outcomes of an experiment is called:
- Outcome
- Event
- Sample point
- None of the above
- Two fair dice are rolled. The probability of throwing an odd sum is:
- 1/6
- 1/2
- 1
- 1/36
- Two coins are tossed. Probability of getting head on the first coin is:
- 2/4
- 0
- 4
- 1
- A particular result of an experiment is called:
- Outcome
- Trial
- Simple event
- Compound event
- Given P(A)=2/3, P(B)=3/8 and PAB)=1/4, then A and B are:
- Dependent
- Equally likely
- Independent
- Mutually exclusive
- If P(A/B) = P(A) and P(B/A)=P(B), then A and B are:
- Independent
- Dependent
- Mutually exclusive
- Equally likely
- Which statement is false?
- The classical definition applies when there are n equally likely outcomes to an experiment
- A subjective probability is based on whatever information is available
- The general rule of addition is used when the events are mutually exclusive
- The empirical definition occurs when number of times an event happen is divided by the number
of observations.
- A letter is chosen at random from the word "Statistics". The probability of getting a vowel is:
- 3/10
- 1/10
- 4/10
- 2/10
- If A and B are two not-independent events, then the probability that both A and B will happen
together is:- P(A⋂B) = P(A)
- P(A⋂B) = P(A)P(B/A) (b)
- P(A⋂B) = P(A)P(B)
- P(A⋂B) = P(A)+P(B)
- If A and B are any two events, then P(A/B)+P( /B) is equal to:
- 1
- 0
- 0.5
- 0.25
- If P(B/A) = 0.50 and P(A⋂B) = 0.40, then p(A) will be equal to:
- 0.50
- 0.80
- 1
- 0.40
- A process that leads to the occurrence of one and only one of several possible observations is called:
- Random variable
- Experiment
- Probability distribution
- Random experiment
- Given P(A) = 0.4, P(B) = 0.5 and P(A⋃B)=0.9,then:
- A and Bare independent events
- A and B are equally likely events
- A and B are mutually exclusive events
- A and B are not mutually exclusive events
- An arrangement in which the order of the objects selected from a specific pool of objects is important
called:- Combination
- Permutation
- Sample space
- Factorial
- The term 'sample space' is used for:
- All possible outcomes
- All possible coins
- Probability
- Sample
- If we toss a coin and P(H) = 2P(T), then probability of head is equal to:
- 0
- 2/3
- 1/3
- 1/2
- If A and B are two mutually exclusive and exhaustive events and P(A)=2P(B), then P(B) is equal to:
- 1/2
- 1/4
- 1/3
- 2/3
- The six faces of the die are called equally likely if the die is:
- Fair
- Six-faced
- Small
- Round
- The term 'event' is used for:
- Time
- Probability
- A sub-set of the sample space
- Total number of outcomes
- A die and a coin are tossed together. Probability of getting head on the coin is:
- 12
- 0
- 6
- 6/12
0 Comment:
Post a Comment