SECTION 12- PROBABILITY Flashcards

1
Q

P(A)

A
  • probability of A
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2
Q

P(B)

A
  • probability of B
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3
Q

P(A’)

A
  • probability of not A
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4
Q

P(B’)

A
  • probability of not B

everything outside of B

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5
Q

P(A ∩ B)

A
  • intersection of A and B
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6
Q

P(A U B)

A
  • probability of A and B

- union (so it is everyone in A and B)

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7
Q

P(A’ ∩ B’)

A
  • probability of not A and not B

- where is it both not A or B (outside the circles)

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8
Q

P(A’ ∩ B)

A
  • probability of not A and B

- B not including intersection

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9
Q

P(A ∩ B’)

A
  • probability of not B and intersection

- A not including intersection

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10
Q

P(A’ U B’)

A
  • union of not A and not B

- all added up except the intersection

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11
Q

P(A U B’)

A

union of A and not B

- includes A and intersection and outside of venn diagrams

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12
Q

P(A’ U B)

A
  • union of not A and B

- includes B and intersection and outside of venn diagrams

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13
Q

independent events formula

- P( A ∩ B)

A

P( A ∩ B) = P(A) x P(B)

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14
Q

probability of mutually exclusive events

P(A ∩ B)

A

P(A ∩ B) = {0}

- there’s no intersection and no chance of them happening at the same time (separate venn diagrams)

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15
Q

what does it mean if two events are independent

A
  • the outcome of one event doesn’t affect whether or not the other event occurs e.g. rolling a 3, then a 2 on a dice
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16
Q

what is an empty set

A

when two events are mutually exclusive

17
Q

what happens when two events are NOT independent

A
  • the outcome of one event is affected by the outcome of the other e.g. probability you receive an A on your stats. test may change depending on if you did all your hw
18
Q

what does P(A|B) denote

A
  • probability event A occurs given that event B has already occurred
  • but if A and B are independent P(A|B) = P(A) since occurrence of B doesn’t affect A
19
Q

conditional probability formaula

A

P(A|B) = P( A ∩ B) / P (B)

20
Q

formula for finding relating the intersection to the union

A

P( A U B ) = P(A) + P(B) - P(A ∩ B)

21
Q

what can be used to calculate conditional probability

A

tree diagrams

22
Q

probability of an event formula

A

no. of possible outcomes in the event/ total no. of possible outcomes