Compilation - Probability
Points to remember
Definition of conditional probability.
Definition of expected value. { P(A/B)=P(A ∩ B )/P(B) }
Bayes theorem. P(A1/B)=P(A1)P(B/A1)/{P(A1)P(B/A1)+P(A2)P(B/A2)}
52 cards.
26 alphabets. 2consecutive can be selected in 25 ways.
independent event ( A ∩ B =A.B )
exclusive events ( A ∩ B = 0 )
Points to remember
Definition of conditional probability.
Definition of expected value. { P(A/B)=P(A ∩ B )/P(B) }
Bayes theorem. P(A1/B)=P(A1)P(B/A1)/{P(A1)P(B/A1)+P(A2)P(B/A2)}
52 cards.
26 alphabets. 2consecutive can be selected in 25 ways.
independent event ( A ∩ B =A.B )
exclusive events ( A ∩ B = 0 )
Type of problem
Geometry figure is given and we need to find probability of finding an angle subtending some angle.
use set theory maximum minimum method to find the intersection between two sample space and give the probability.
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