Ch 1 Flashcards

1
Q

What is a sample space?

A

A set whose elements are all possible outcomes to the experiment

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2
Q

What is an event?

A

A subset A of the sample space

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3
Q

What is the complement of A?

A

The event that occurs when A does not occur

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4
Q

What is the union of A and B?

A

The event that occurs when A OR B occurs

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5
Q

What is the intersection of A and B?

A

The event when both A AND B occur

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6
Q

What is the set difference A\B?

A

The event that A occurs but B does not

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7
Q

What is a probability measure/function?

A

A probability measure or probability function P is a map P : A → R that fulfils the properties
1. P (A) ≥ 0 for every event A,
2. P (Ω) = 1 and
3. for countably many disjoint events Ai , i.e. Ai ∩ A j = empty set ; for all i =/j , it holds that P (Ui Ai ) = sigma i P(Ai)

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8
Q

When are events disjoint?

A

If the intersection is the empty set

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9
Q

What is an alternative to disjoint?

A

Mutually exclusive. Events that are disjoint can’t both occur

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10
Q

What is P(A^c)? (A complement)

A

P(A^c)=1-P(A)

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11
Q

If A is a subset of B, express their probabilities as an inequality?

A

P(A)<=P(B)

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12
Q

What is a discrete uniform distribution?

A

If for all ω ∈ Ω we have that
P ({ω}) = 1/#Ω ,
then we call this a discrete uniform distribution or uniformly random.

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13
Q

What is P(A) in case of discrete uniform distribution?

A

P(A)=#A/#omega

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14
Q

How many ways are there to order n objects?

A

n!

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15
Q

How many combinations are there of selecting k objects out of n with replacement and in order?

A

n^k

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16
Q

How many combinations are there of selecting k objects out of n with replacement and in order?

A

n^k

17
Q

How many combinations are there of selecting k objects out of n without replacement but in order?

A

n!/(n-k)!

18
Q

How many combinations are there of selecting k objects out of n with replacement but without order?

A

(n+k-1)C(n)

19
Q

How many combinations are there of selecting k objects out of n without replacement and without order?

A

nCk

20
Q

What is inclusion-exclusion principle?

A

P (A ∪ B) = P (A) + P (B) − P (A ∩ B)