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When sample space S is partitioned into some mutually exclusive events such that their union is sample space itself. Then the events are called
Exhaustive events
Equally likely events
Simple events
Compound events
If the chance of occurance of two events are same then such events are called
Equally likely events
Independent events
Mutually exclusive events
Dependent events
If a player well shuffles the pack of 52 playing card, then the probability of a black card form 52 playing cards is:
26/52
13/52
4/52
1/52
A non – orderly arrangement of thing s is called:
Permutation
Equally likely
Combination
Equally likely
P (A/B) can be evaluated by formula
Pr can be solved by the formula.
N!/ r!(n-r)!
(n-r)!/r!
n!(n-r)!/r!
n!(n-r!)
A set representing all possible out comes of a random experiment is called
Simple event
Sample space
Random experiment
Universal set
The probability of a Jack Card form 52 playing card is:
1/52
26/52
4/52
13/52
An experiment which produced different outcomes even if it is repeated a large number of times, under similar conditions is called
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