Probability Concepts Flashcards

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1
Q

Uncertain value determined by chance

A

Random variable

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2
Q

The realization of a random variable

A

Outcome

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3
Q

A set of one or more outcomes

A

Event

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4
Q

Two events that cannot both occur

A

Mutually exclusive

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5
Q

A set of events that includes all possible outcomes

A

Exhaustive

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6
Q

Two properties of probability

A
  1. The sum of the probabilities of all possible mutually exclusive events is 1.
  2. The probability of any event cannot be greater than 1 or less than 0.
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7
Q

Measures predetermined probabilities based on well-defined inputs

A

A priori probability

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8
Q

Measures probability from observations or experiments

A

Empirical probability

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9
Q

Measures probability using informed guess

A

Subjective probability

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10
Q

Odds for v. odds against

A

Odds for = A / B - A, odds against = B / A + B

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11
Q

The probability of an event occuring

A

Unconditional probability

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12
Q

The probability of an event A occurring given that event B has occurred

A

Conditional probability

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13
Q

Used to determine to the joint probability of two events

A

The multiplication rule of probability

P(AB) = P (A|B) x P (B)

or

P(A|B) = P(AB) / P(B)

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14
Q

Used to determine the probability that at least one of two events occur

A

The addition rule of probability

P(A or B) = P(A) + P(B) - P(AB)

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15
Q

Used to determine the unconditional probability of an event given condition probabilities

A

The total probability rule

P(A) = P (A|B1)P(B1) + P(A|B2)P(B2)

B1, B2, etc are mutually exclusive and exhaustive

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16
Q

The measure of extent to which two random variables tend to be above and below their respective means for each joint realization.

A

Covariance

17
Q

Covariance formula

A

CovA,B = ∑ (Ai - A-bar)(Bi - B-bar) / n - 1

18
Q

The standardized measure of association between two random values

A

Correlation

19
Q

Correlation formula

A

Corr (X,Y) = Cov(X,Y) / σA * σB

20
Q

Expected Value of Random Variable

A

= ∑ Pi(Xi) * Xi

21
Q

Variance of a Random Variable

A

= ∑ P(Xi)[(Xi-E(X)]^2

22
Q

Expected Return of a 2-asset Portfolio

A

E(Rp) = w1E(R1) + w2E(R2)

23
Q

Expected Variance of a 2-asset Portfolio

A

Var(Rp) = (w1^2 * σ1^2) + (w2^2 * σ2^2) + 2(w1w2Cov1,2)

24
Q

Covariance (given joint probability)

A

=∑ P(Xi, Yi) * (Xi-E(X) * (Yi - E(Y)

25
Q

Bayes’ Formula

A

= P(I|O) = P(O|I) / P (O) x P (I)

26
Q

Formula to chose a subset of size r from a set of size n when order doesn’t matter

A

= nCk (combination)

27
Q

Formula to chose a subset of size r from a set of size n when order matters

A

= nPk (permutation)