A. The elements of A or B
B. The elements of A and B
C. The elements A but not of B
D. None of these
Related Mcqs:
- . If the occurrence of one event means that another cannot happen, then the events are _______________?
A. Independent
B. Mutually Exclusive
C. Bayesian
D. Empirical - If β1 = 0 it means the distribution is _______________?
A. Symmetrical
B. + vely skewed
C. -vely skewed
D. Non of these - N(µ, 2σ) means normally distribution with mean u and variance2σ then (3σ, 4) means _____________?
A. 46
B. 76
C. 36
D. 47 - A coin is so weighted that P (T) = 2P(H) then P(H) is _______________?
A. 1/2
B. 1
C. 2/3
D. 1/3 - If P(B/A)= 0.25 and P(A∩B) = 0.2 then P(A) will equal to _______________?
A. 0.05
B. 0.75
C. 0.8
D. 0.45 - A set of events is said to be independent if probability of head on tossing a coin is _______________?
A. 1/2
B. 2/3
C. 1
D. 3/4 - If the events have same chance of occurrence they are called:_______________?
A. Equally likely events
B. Exhaustive events
C. Mutually Exhaustive events
D. dependent events - The possibility of total outcome in a coin equal to _______________?
A. Fifty %
B. Twenty %
C. 60%
D. 30% - The joint probability is _______________?
A. The likelihood of two events happening together
B. The likelihood of two events happening given that another event has already ha
C. Based on two mutually exclusive events
D. Also called Prior probability - In special rule of addition of probability, the events are Always:_______________?
A. Independent events
B. Mutually Exclusive events
C. Bayesian
D. Empirical
Advertisement
1 Comment
Right answer is B
P(A∩B) is the probability that events A and B both happen. Basically ∩ means ‘and’