Questions Flashcards

1
Q

Probability

A

0<=P(event)<=1

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2
Q

Objective Approach

A

no. occurences/ total trials or outcomes

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3
Q

Adding Mutually Exclusive Events

A

P(A) + P(B)

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4
Q

Adding Not Mutually Exclusive Events

A

P(A) + P(B) - P(A and B)

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5
Q

Statistically Independent : Joint

A

P(A) x P(B)

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6
Q

Statistically dependent : Joint

A

P(A\B) x P(B)

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7
Q

Statistically Independent : Conditional

A

P(A\B) = P(A)

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8
Q

Statistically dependent : Conditional

A

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

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9
Q

Normal distrib approx. probabilities

A

68(.268) /95(.45)/ 99.7(3)

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10
Q

Bayes Theorem

A

(P(B\A)P(A) / (P(B\A)P(A) + P(B/A’)P(A’)

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11
Q

Mean/ Expected Value

A

E xiP(xi)

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12
Q

Standard Variance

A

(E(ci-mu)^2)/n-1

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13
Q

Variance

A

E [Xi-E(x)^2} P(x)

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14
Q

Binomial Distribution (BD): Successes

A

(n!)/(r!(n-r)!) *P^r q^(n-r)

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15
Q

BD: expected value /mean

A

np

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16
Q

BD: Variance

A

npq

17
Q

Normal distrib f(x)

A

check paper

18
Q

z score

A

(x-mu)/standard deviation

19
Q

Coercion of realism

A

WA=COR(Max. Row) + (1-CoR)(Min.Row) ===Highest Value

20
Q

Equally Likely

A

(Max+Min)/no.

21
Q

Minimax Regret

A

Best Payoff-Each payoff ===Minimum Value

22
Q

Expected Monetary Value

A

(payoff 1t state)(Psecond)+(Payoff 2nd)(Psecon)+…n

23
Q

Expected Value of Perfect Information

A

EVwPI-Max. Emv

24
Q

EVwPI

A

(Max each times probs)

25
Q

EOL

A

=Max Emv
EVPI=Min EOL
Minimax Regret x EmV

26
Q

Sensitivity analysis

A

fav(p)-Unfav(1-p) = Fav(p) -Unfav+unfave(p)

27
Q

Expected Value of sample info

A

(Ev with sample infor+cost)- Ev wout SI

eV w/ Si assum no cost)(Ev best decision wout SI

28
Q

Determinants 2x2

A

detA= A11(A22) -A21(A12)

29
Q

Determinants 3x3

A

A11\C11-A12\C12+A13\C13\

30
Q

Cofactor

A

Cij = ((-1)^(i+j))(Mij or det A) check papaer

31
Q

Inverse

A

check paper

32
Q

Inverse matrix

A

1/det* inversed matrix

33
Q

Exponential Smoothing

A

Fv(t+1) = Fvt + constant(Yvt-Fvt)

34
Q

Trend Projection (3 formulas)

A

Y=b1+b2X
B1 =xy -((Ex)(Ey)/n) / E(x^2)-(((Ex)^2)/n))
B2 = yu- B1xu

35
Q

Mean absolute deviation

A

Total Error/n