Week 1 Flashcards

1
Q

What is the difference between Deterministic and Random processes?

A

Deterministic: Outcome can be predicted exactly in advance.

Random: Outcome not known exactly, but can describe probability distribution of outcome.

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2
Q

What is a random experiment?

A

A process that produces uncertain outcomes from a well-defined set of possible outcomes.

E.g: Tossing a coin, drawing a card.

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3
Q

What is a sample space?

What are the possible sizes of a sample space?

A

Set of all possible outcomes of a random experiment, with any individual outcome being a sample point.

Denoted by omega.

Can be finite, countably infinite or infinite.

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4
Q

What is an event, in terms of a sample space?

A

An event is a subset of the sample space.

Event A occurs if random experiment outcome is a member of A.

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5
Q

What is an event space?

A

Collection of all events, denoted by F.

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6
Q

What are three possible operations on events?

A

Complement: The sample points that do not occur in an Event A.

Union: The sample points in A, B or both.

Intersection: The sample points in A and B.

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7
Q

What is a partition?

A

A collection of sets {A1 … An} is a partition of a universal set omega iff:

  1. ) Non-Overlap: {A1 … An} is disjoint (no shared points between sets).
  2. ) Decompose: Union of all sets {A1 … An} is omega.
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8
Q

How is area used as a proxy for probability?

A

The area of omega = 1.

The area of an event = probability of that event.

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9
Q

What is a Probability Law?

A

A function P: F -> [0, 1] that maps an event A to a real number in [0, 1].

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10
Q

What are the Kolmogorov axioms which a Probability Law satisfies?

A

Non-Negativity: P(A) >= 0 for any A in F.

Unit Measure: P(omega) = 1.

Additivity of Disjoint Events: If two regions in A1, A2.. do not overlap then the area of the combined region is the sum of the area of each region.

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11
Q

What are the components of a Probability Space?

A

Triplet consisting of (Sample space, Event space, Probability law).

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12
Q

What are three properties of Probability Laws?

A
  1. ) If A c B then P(A) <= P(B).
  2. ) P(A u B) = P(A) + P(B) - P (A n B).
  3. ) P(A^c) = 1 - P (A).
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