FORMULAS TO MEMORIZE PROBABILITY Flashcards
some process that occurs with well defined outcomes
experiment
a result from a single trial of the experiment
outcome
a collection of one or more outcomes
event
a collection of all the outcomes of an experiment
sample space
“expected” probability based upon knowledge of the situation, such as the number of outcomes
theoretical probability
probability “estimate” based upon how often the event occured after collecting data from an experiment in a large number of trials
Empirical (experimental) probability
V = or/union
N= and/intersection
P(A or B)= P(A) + P(B) - P(A and B)
Probability Addition Rule
The two events have no outcomes in common (equal ZERO)
P (A and B) must be equal to 0
P (A or B) = P(A) + P(B)
Mutually Exclusive Events
Probability that event A occurs given that event B has already occured
“Probability of A given B”
P (A/B) = P(A and B)/P(B)
Conditional Probability
The probability that one event occurs in no way affects the probability of the other event occurring
ex. rolling a die and flipping a coin
Independent Events
The probability of one event occurring influences the likelihood of the other event
ex. Drawing a heart from a deck of cards, then drawing another heart from the deck
Dependent Events
Events A and B are independent if
P(A) = P(A/B)
OR
P(A) x P(B) = P (A and B)
Testing for Independence
*one may be easier over another depending on what information is offered
if an event has more than one stage to it, then a tree diagram can be drawn to list ALL the possible outcomes
Tree Diagrams/Sample Spaces
P (A THEN B) = P(A) x P(B)
Multiplication Rule for Multi Stage Events