week 3 - Probability

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14 Terms

1
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what is probability?

this is a measure on a sliding scale from 0 (impossible) to 1 (certain)

2
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what is the classical approach?

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3
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what is a mutually exclusive event?

two or more events cannot happen at the same time

4
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what is a mutually exhaustive event?

they represent all possible occurrences eg when tossing a coin, it is going to land on either heads or tails so all outcomes have been exhuasted

5
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formula for both mutually exclusive and exhaustive?

p(A) + p(B) + p(C) = 1

A, B and C are mutually exclusive and exhaustive → not just limited to 3 outcomes eg obtaining a first, 2.1, 2.2, 3rd or fail

6
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what is complementary events and the formula?

how is it sometimes written?

set of outcomes not belonging to an event is called the complement of event

formula: P(event A NOT occuring) = 1 - P(A)

eg p(raining) = 1 - p(not raining)

sometimes written as p(A’)

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what is the Addition Laws (OR rule)

this is the probability of either one event OR another occuring

8
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if events are mutually exclusive, the formula is:

p(A+B) = P(A) + P(B)

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if events are non mutually exclusive, the formula is:

how can it also be written?

P(A or B) = P(A) + P(B) - P(A or B)

<p>P(A or B) = P(A) + P(B) - P(A or B)</p>
10
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what is the multiplication laws (and rule)

how can it also be wrriten?

tf events are independent ie the result of one event does not affect result of event 2) then: P(A and B) = P(A) X P(B)

if events are dependent onie the result of one depends on the result of the other) then: P(A and B)= P(A) X P(B|A)

where P(B|A) means P(B) given that A happened

<p>tf events are independent ie the result of one event does not affect result of event 2) then: P(A and B) = P(A) X P(B)</p><p></p><p>if events are dependent onie the result of one depends on the result of the other) then: P(A and B)= P(A) X P(B|A)</p><p>where P(B|A) means P(B) given that A happened</p>
11
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how do u calculate expected value

expected value = everything (Probability of outcome X financial result of outcome)

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