A. Independent events
B. Mutually Exclusive events
C. Bayesian
D. Empirical
Related Mcqs:
- The special rule of multiplication of probability, the events must be ______________?
A. Independent
B. Mutually exclusive
C. Bayesian
D. Empirical - Addition Law of probability for mutually exclusive event is equal _______________?
A. P(AUB)=P(A) + (B)
B. P(AUB) = P(A) + P(B) – P(A∩B)
C. P(A∩B) = P(A) + P(B) + P(A∩B)
D. P(A∩B) = P(A). P(B - 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 - For a probability density function (pdf), the probability of a single point is_____________?
A. 1
B. 2
C. 0
D. Constant - 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 - The probability of getting exactly three tails when three balanced coins are tossed once _______________?
A. 1/8
B. 2/8
C. 5/8
D. 7/8 - 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 - . If the occurrence of one event means that another cannot happen, then the events are _______________?
A. Independent
B. Mutually Exclusive
C. Bayesian
D. Empirical - Binomial probability distribution is denoted by b(x ; n, p), is defined as _______________?
A. {nx}px qn-x
B. {nx}px(1 – P)x-n
C. nCxpnqnx
D. {nx}p(1 – P)x - If mean of the binomial probability distribution is 4.8, then variance of this distribution is :_______________?
A. -2.3
B. 5.3
C. -4.8
D. 2.3
