Introduction To Probability

P(X or Y) = P(X) – P(Y) + P(X and Y)

P(X or Y) = P(X) + P(Y) * P(X – Y)

P(X or Y) = P(X) * P(Y) + P(X – Y)

P(X or Y) = P(X) + P(Y) – P(X and Y)

counted probability distribution

relative frequency approach

irrelative frequency approach

fixed probability distribution

multiple experiments

permutations

combinations

all of above

2

12

24

4

numerical space

event space

sample space

both b and c

fixed probability

non-relative probability

empirical probability

relative probability

numerical events

equally likely events

unequal events

non-numerical events

P(Z + Y) * P(Y|Z)

P(Y) * P(Z|Y)

P(Y) * P(Z|Y) + P(Z)

P(Y) * P(Z|Y) – P(Z + Y)

0.6

0.9

0.8

0.5

compound events

mutual events

connected events

interlinked events