Chapter 5 Flashcards

1
Q

Probability

A

The probability of an event is its true relative frequency. This is the proportion of times the event would occur if we repeated the same process over and over again.

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2
Q

Mutually exclusive events

A

There are no overlap between two event. Two things can’t occur in one event.
PR[A & B] = 0

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3
Q

Non-exclusive events

A

There are some overlaps between two things. Same thing can be achieved by both parties.
Pr[A & B) does not 0

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4
Q

Probability distribution

A

A probability distribution is the true relative frequency of all possible values of a random sample - describes discrete variables

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5
Q

Proportion

A

The proportion is the number of times an event occurs divided by the number of tries.

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6
Q

Probability rule #1

A

General: Pr[A or B] = Pr[A] + Pr[B] - Pr[A and B]
Mutually exclusive: Pr[A or B] = Pr[A} + Pr[B]

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7
Q

Probability rule #2

A

General: Pr[A & B] = Pr[A] x Pr[B|A]. The probability of one event times the probability of the other, conditioned on the first.

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8
Q

Independent

A

Two events are independent if the occurrence of one gives no information about whether the second will occur.
A & B are independent
- if Pr[B|A] = Pr[B]
- if Pr[A & B] = Pr[A] x Pr[B]

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9
Q

Dependent

A

Events are dependent when the probability of one event depends on the outcome of another
Pr[A & B] does not equal Pr[A] x Pr[B]

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10
Q

Bayes Theorem

A

The probability of A given B equals the probability of B given A time the probability of A divided by the probability of B.
The Bases theorem is used to translate between probabilistic statement

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