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Probability
Relative frequency of an event in the long run/the very long run; always between 1 and 0
Trial
A single attempt of a random phenomenon; each time you observe an experiment happening
Event
A collection of outcomes`
Sample Space
The collection of all possible outcome values
Law of Large Numbers
Repeat trial(or event) over and over again, the prob. turns out to be one number
Empirical Probability
When a person gets results from an event occuring
Theoretical Probability
Using math and rules, nothing occurs
Disjoint Events
Two events that cannot occur at the same time
Independent Events
Knowing the result of an event occurring does not change the probability of the other event occurring
The "Or" Rules
1. If the events are disjoint: P(A or B) = P(A) + P(B)
2. If the events are not disjoint: P(A or B) = P(A) + P(B) - P(A and B)
The "And" Rules
1. For independent events: P(A and B)=P(A)xP(B)
2. General Rule for Indep./Non-Indep.: P(A and B)=P(A)xP(B/A)
The Compliment Rule
A prob. that is likely to "not" occur: P(A^C)=1-P(A)
The Conditional Rules
The prob. of B given A; P(B/A)=P(B)
Independence Rules
Independence and Disjoint cannot happen at the same time
a. Two events can be independent OR disjoint
With Replacement
A deck of cards: means the cards put back in the original set and the probabilities of a single draw remain the same
Without Replacement
A deck of cards: the 1st card since it is not replaced the probabilities are different for the 2nd choice
What are Venn diagrams
Very complex probabilities