Lecture 5 Flashcards
probability is a number between
0 and 1
mutually exclusive
if only one can occur at one time
collective exhaustively
if it includes every possible outcome of an experiment, sum of probabilities = 1
classical probability
assumption that the outcomes of an experiment are equally likely
Empirical Probability
probability of an event happening is determined by past
Subjective Probability
based on judgement or intuition
complement rule
the probability of an event occurring is the same as one minus the event not occurring
Complement rule formula
P(event occurring) = 1 - P(event not occurring)
or
P(A) = 1-P(A’)
Addition Rule for mutually exclusive events
P(A or B) = P(A) + P(B)
addition rule for all events
P(A or B) = P(A) + P(B) - P(A and B)
independent events
two events are independent if the occurrence of one does not affect the probability of the other
independent events formula
P(A and B) = P(A) x P(B)
Bayes Rule: events that are not independent
P(B|A) = the probability of B occurring given that A has already occurred
General rule of multiplication formula
P(B|A) = P(A and B)/ P(B)