Probability Flashcards

0
Q

P (empty set) =

A

0

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1
Q

Probability

A

A probability is a function P that assigns to each event E in the sample space S a number P(E) called the probability of event E.

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2
Q

How do we assign probabilities?

A

We assign probabilities empirically or theoretically.

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3
Q

How do you find out empirical probability?

A

Through experimentation.

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4
Q

Relative frequency of E after n experiments

A

Number of times E occurred / n

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5
Q

As the number of experiments approaches infinity what happens?

A

The probability of event E equals the relative frequency of E

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6
Q

Experiment flow chart

A

Experiments to outcomes to sample space to event to probability to theoretical and empirical

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8
Q

What does it mean for something to be fair?

A

Each outcome is equally likely to occur

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9
Q

Additive Rule

A

If A and B are two events,

P(AUB) = P(A) + P(B) - P(A∏B)

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10
Q

Corrolary of Additive Rule

A

If A and B are mutually exclusive (disjoint) events,

P(AUB) = P(A) + P(B)

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11
Q

P(A’) =

A

1 - P(A)

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12
Q

P(A∏B’) =

A

P(A) - P(A∏B)

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13
Q

When do you use tree diagrams?

A

Only for conditional probability.

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14
Q

P(A|B) =

A

Probability of A given B

P(A∏B)/P(B)

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15
Q

Multiplication Principle for conditional probability

A

P(A∏B) = P(A|B)*P(B)

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16
Q

Independent Events vs Mutually exclusive events

A

Mutually exclusive events: P(A∏B)=0

Independent Events: P(A∏B)=P(A)P(B)

17
Q

Independent Events

A

Two events A and B are independent if P(A|B)=P(A) and P(B|A)=P(B). Thus P(A∏B)/P(B)=P(A) and P(B∏A)/P(A)=P(B).

Thus the test for independence is P(A∏B)=P(A)P(B).

18
Q

Bayes’ Theorem

A

P(A|B) = ( P(B|A)P(A) ) / P(B)
or
P(A|B) = P(A∩B)/P(B) - same as:
product of all branch probabilities leading to A through B / sum of all branch probabilities leading to A