A. 2-Jan
B. 0
C. Apr-52
A. The likelihood of two events happening given that another event has already ha
B. Also called Prior probability
C. Based on two mutually exclusive events
A. P(AeitherB)=0
B. P(AnorB)=0
C. P(AorB) =0
A. 6-Feb
B. 6-Jan
C. 6-Jun
A. Three
C. One
D. Four
A. 12-Dec
B. 12-Jul
C. 12-Apr
A. values
B. Continuous
C. Finite
C. 1
D. 3-Feb
A. P(AUB) = P(A) + P(B) P(A?B)
B. P(A?B) = P(A). P(B
C. P(A?B) = P(A) + P(B) + P(A?B)
B. Objects
C. Events
D. Outcomes
A. The elements A but not of B
B. The elements of A and B
C. None of these
A. 26-Jan
C. 1/169
D. Apr-52
B. Two
C. Three
A. 3-Jan
B. 2-Jan
D. 0
A. 6 outcomes
C. Non of these
D. 24 outcomes
B. 60%
C. 30%
D. Twenty %
A. 5
C. 55
D. None of these
C. 12-Jan
D. 8-Mar
B. both event occurs
C. One occurs
D. not both occurs
B. Dependent events
C. Exclusive events
D. Independent events
A. 13/36
B. 21/36
D. Apr-36
B. Specified
C. Raw data
D. Introduce
A. 4-Apr
B. 4-Feb
D. 4-Jan
A. Bayesian
B. Empirical
A. None of these
B. n. (n-1) (n-2)..3.2.1.0
D. 1.2.3.4,
A. Jan-36
B. Dec-36
C. Jun-36
D. 18/36
B. Equally likely events
C. Mutually Exclusive events
D. Dependent events
C. Over lapping sets
D. Equal sets
B. Mutually Exhaustive events
C. dependent events
D. Exhaustive events
A. Random Experiment
B. Z-Value
D. Probability
E. Random Variable
A. Contingency table
C. Bayesian table
D. Random Variable
E. Frequency distribution
B. Positive
D. Zero
A. 4-Feb
B. 4-Apr
C. 4-Mar
B. Space
C. Sample point
D. Set
B. Independent
C. Overlapped
D. None of These
A. The probability of success is always greater than 5
B. The number of trials is always less than 5
C. it always contains a contingency table
Showing 51 to 86 of 86 mcqs