Module 7 Vocab Flashcards

(40 cards)

1
Q

Probability Space (words)

7.1

A
  1. a set of outcomes
  2. a probability distribution function
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2
Q

Outcomes

7.1

A

A finite non-empty set Ω

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3
Q

Probability Distribution Function (words)

7.1

A

assigns probability to each outcome
such that the sum of all probabilities equals 1

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4
Q

Probability Distribution Function (symbols)

7.1

A

Pr: Ω→[0,1]
for each outcome w∈Ω
maps to its probability Pr[w]
such that w∈Ω Σ Pr[w] = 1

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5
Q

Ω

7.1

A

set of outcomes

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6
Q

Pr

7.1

A

probability distribution function

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7
Q

(Ω, Pr)

7.1

A

probability space

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8
Q

Probability Space (symbols)

7.1

A

(Ω, Pr)

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9
Q

Event

7.1

A

a subset of the probability space
E ⊆ Ω

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10
Q

Event (symbol)

7.1

A

Pr[E] = w∈Ω Σ Pr[w]

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11
Q

Probability of an outcome (symbol)

7.1

A

Pr[w]
real number between 0 and 1 inclusive

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12
Q

Uniform

7.2

A

a probability space where all the outcomes have the same probability
“equally likely”

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13
Q

Probability of each outcome in a uniform probability space

7.2

A

n = |Ω| (n represents the number of outcomes)
Pr[w] = 1/n

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14
Q

Probability of an event E in a uniform probability space

7.2

A

Pr[E] = m/n
where m=|E| (remember E is a subset)
and n=|Ω|

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15
Q

Pr[w] = 1/n

7.2

A

the probability of each outcome in a uniform probability space

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16
Q

Pr[E] = m/n

7.2

A

the probability of event E in a uniform probability space

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17
Q

Fair

7.3

A

uniform probability space

18
Q

Biased

7.3

A

non-uniform probability space
outcomes are parameterized

19
Q

Probability for biased coin

7.3

A

Pr[H] = p
Pr[T] = 1 - p

20
Q

Bernoulli Trial

7.3

A

probability space with two outcomes
success = p and failure = q
parameterized such that q = 1 - p

21
Q

Random Permutation
(of n distinct objects)

7.3

A

an element of the uniform probability space whose outcomes are all possible permutations

22
Q

Probability of a random permutation

7.3

23
Q

Probability that object i occurs in position j in a random permutation

7.3

A

(n-1)! / n!

1 / n

24
Q

P0

7.4

A

Pr[E] ≥ 0

Since it’s the sum of non-negative numbers.

25
Pr[E] ≥ 0 | 7.4
P0
26
Pr[Ω] = 1 | 7.4
P1
27
P1 | 7.4
Pr[Ω] = 1 ## Footnote Since it adds up the probabilities of all the outcomes in the space.
28
P2 | 7.4
If A,B are disjoint then Pr[A∪B] = Pr[A] + Pr[B] ## Footnote Addition Rule
29
If A,B are disjoint then Pr[A∪B] = Pr[A] + Pr[B] | 7.4
P2
30
If A⊆B then Pr[A] ≤ Pr[B] | 7.4
P3
31
P3 | 7.4
If A⊆B then Pr[A] ≤ Pr[B] ## Footnote Monotonicity
32
Complement | 7.4
if E ⊆ Ω is the event, then the complement of E is the event Ē = Ω \ E
33
P4 | 7.4
Pr[Ē] = 1 - Pr[E] ## Footnote Think: probability of not E
34
Pr[Ē] = 1 - Pr[E] | 7.4
P4
35
P5 | 7.4
Pr[∅] = 0 ## Footnote A sum with no terms
36
Pr[∅] = 0 | 7.4
P5
37
Pr[A∪B] = Pr[A] + Pr[B] - Pr[A∩B] | 7.4
P6
38
P6 | 7.4
Pr[A∪B] = Pr[A] + Pr[B] - Pr[A∩B] ## Footnote Inclusion-exclusion for two events
39
P7 | 7.4
Pr[A∪B] ≤ Pr[A] + Pr[B] ## Footnote Union bound. Follows directly from P6.
40
Pr[A∪B] ≤ Pr[A] + Pr[B] | 7.4
P7