Topic 2 - Probability Theory Flashcards

(14 cards)

1
Q

What does probability tell us

A
  • The likelihood of an event to occur
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2
Q

What is S in terms of probability

A
  • The sample space of all possible outcomes
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3
Q

How are events related to the sample space

A
  • Events are an subset A of the sample space
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4
Q

What is the probability for the empty set

A
  • An impossible event so 0
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5
Q

What are the set of operators for probability

A
  • A u B union
  • A n B intersection
  • A bar opposite of A
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6
Q

What are the distributive laws in probability

A
  • An(BuC) = (AnB)u(AnC)
  • Au(BnC) = (AuB)n(AuC)
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7
Q

What are the 3 probability Axioms

A
  • P(A) >= 0
  • P(S) = 1
  • If events are mutually exclusive the union of disjoint events is the sum of the probabilites of the events
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8
Q

What are the 4 properties we can derive from the Axioms

A
  • P(empty set) = 0
  • 1 >= P(A) >= 0
  • P(not A) = 1 - P(A)
  • P(AuB) = P(A) + P(B) - P(AnB)
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9
Q

What is conditional probability

A
  • The probability of an event depending on whether another event has occured
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10
Q

What is the formula for conditional probability

A
  • P(A|B) = P(AnB) / P(B)
  • P(B|A) = P(BnA) / P(A)
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11
Q

How does commutivity work with probability

A
  • P(AnB) = P(BnA)
  • P(A|B) != P(B|A)
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12
Q

What conditions confirm whether two events are independent

A
  • P(A|B) = P(A)
  • P(B|A) = P(B)
  • P(AnB) = P(A) * P(B)
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13
Q

What is the law of total probability

A

P(A) = sum P(A|Bi) * P(Bi)

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14
Q

Define Bayes Rule

A

look up

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