chapter 4: probability and events and shit like that Flashcards

1
Q

what is an event?

A

a set of one or more sample space outcomes

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2
Q

what is the probability of an event?

A

sum of probabilities of the possible sample space outcomes

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3
Q

which is the simplest probability rule?

A

the rule of complements

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4
Q

what is the rule of complements

A

you check the probability of an event that will not occur

you check A, you look at all the sample space outcomes that do not correspond to A

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5
Q

what is the intersection of 2 events (A and B)

A

the event that occurs when A and B simultaneously occur

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6
Q

what is the union of two events (A and B)

A

the event that occurs when both A and B occur

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7
Q

how do you find the probability of the union of two events

A

you add the probability of each event

you subtract the intersection of the two events

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8
Q

what are mutually exclusive events (A and B)?

A

two events that do not have anything in mutual

they have to sample space outcomes occurring

they have no intersection

they’re union is = to 100%

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9
Q

what is the conditional probability of A|B (A given B)?

A

the probability of event A, given that event B has occurred

basically, it is the probability of the intersection of A and B divided by the probability of B

can be the other way around as well if B|A

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10
Q

what is the general multiplication rule for probabilities?

A

to ways to calculate P(A intersection B)

P(A intersection B) = P(A) * P(B|A) = P(B) * P(A|B)

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11
Q

what are dependent events ?

A

event A is influenced by wether the event B occurs

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12
Q

what are independent events?

A

P (A | B) = P(A)

P (B | A) = P(B)

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13
Q

what is the multiplication rule for independent variables

A

P(A intersection B) = P(A) * P(B)

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14
Q

what is a prior probability?

A

an initial probability to an event that will occur

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15
Q

what is a posterior probability?

A

a revision made on the prior probability with new information

we can use Bayes’ theorem

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