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Manage Your
Expectations
  작성자: 노재현
 발표일: 2012-05-19
Summary

선형변형 확률모형의 경우 E(aX) 는 aE(X)와
같이 선형 변환되고, Var(aX) 는 a^2Var(X)와
같이 제곱으로 선형변경됨.

확률독립사건은 + - 의 경우는 총합(Sigma) 연
산이므로 E(X + Y) = E(X) + E(Y) 로 분리할 수
있다.
Formulas
    Statistic             Shortcut or formula
    E(aX + b)                   aE(X) + b

   Var(aX + b)                 a^2 Var(X)

      E(X)                   Sigma x P(X=x)

     E(f(X))                Sigma f(x) P(X=x)

  Var(aX - bY)           a^2 Var(X) + b^2 Var(Y)

     Var(X)             E(X-mu)^2 = E(X^2) - mu^2

   E(aX - bY)                 aE(X) - bE(Y)

E(X1 + X2 + X3)                  3 E(X)

Var(X1 + X2 + X3)               3 Var(X)

     E(X^2)                 Sigma x^2 P(X=x)

   Var(aX - b)                 a^2 Var(X)
Fat Dan’s Casino(-0.77)
          Combination             None            Lemon           Cherries       $s/Cherry      $$$           Sum
          x                                  -1               4              9             14            19
          P(X=x)                          0.977           0.008          0.008          0.006         0.001              1
          E(X)                           -0.977           0.032          0.072          0.084         0.019          -0.77
          x P(X=x)
          Var(X)                   0.0516833       0.1820232         0.7636232      1.3089174   0.3908529           2.6971
          (x-E(X))^2 P(X=x)
                   사건x 에 대한 환률분포
   1.00




   0.75


                                                              E(X) = -0.77
   0.50


                                                              Var(X) = 2.69
P(X=x)
   0.25




     0
             -1      4        9    14        19
Fat Dan’s Casino(-0.85)
          Combination              None           Lemon        Cherries        $s/Cherry        $$$           Sum
          x                                  -2           23              48               73           98
          P(X=x)                          0.977        0.008          0.008           0.006           0.001            1
          E(X)                           -1.954        0.184          0.384           0.438           0.098         -0.85
          x P(X=x)
          Var(X)                   1.2920825         4.55058      19.09058        32.722935     9.7713225       67.4275
          (x-E(X))^2 P(X=x)

                     사건x 에 대한 환률분포
   1.00




                                                           E(X) = -0.85
   0.75




   0.50
                                                           Var(X) = 67.4275
P(X=x)
   0.25




     0
              -2      23      48    73       98
Linear Transform


Y = 5X + 3

  E(Y) = 5 E(X) + 3

  Var(Y) = 5^2 Var(X)

  Var(aX +b) = a^2 Var(X)
Independent
        Observation
E(X1 + X2 + ... Xn) = nE(X)

Var(X1 + X2 + ... Xn) = nVar(X)



X1 + X2 is not the same as 2X.

  compare Var(X1 + X2) vs Var(2X)
Transform or
                    Observation?(Q)
                                                                                   Linear    Independent
                                                                                 transform    obseration



           The amount of coffee in an extra large cup of coffee;
                                                                                     o
              X is the amount of coffee in a normal-size cup

                  Drinking an extra cup of coffee per day;
                                                                                                  o
                     X is the amount of coffee in a cup

            Finding the net gain from buying 10 lottery tickets;
                                                                                                  o
                 X is the net gain of buying 1 lottery ticket

Finding the net gain from a lottery ticket after the price of tickets goes up;
                                                                                     o
                 X is the net gain of buying 1 lottery ticket.

              Buying an extra hen to lay eggs for breakfast;
                                                                                                  o
     X is the number of eggs laid per week by a certain breed of hen
New slot machine
    on the block(Y)
E(X - Y) = E(X) - E(Y)

Var(X - Y) = Var(X) + Var(Y)

E(aX + bY) = aE(X) + bE(Y)

Var(aX + bY) = a^2 Var(X) + b^2 Var(Y)

E(aX - bY) = aE(X) - bE(Y)

Var(aX - bY) = a^2 Var(X) + b^2 Var(Y)
Exercise

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Manage your expectation

  • 1. Manage Your Expectations 작성자: 노재현 발표일: 2012-05-19
  • 2. Summary 선형변형 확률모형의 경우 E(aX) 는 aE(X)와 같이 선형 변환되고, Var(aX) 는 a^2Var(X)와 같이 제곱으로 선형변경됨. 확률독립사건은 + - 의 경우는 총합(Sigma) 연 산이므로 E(X + Y) = E(X) + E(Y) 로 분리할 수 있다.
  • 3. Formulas Statistic Shortcut or formula E(aX + b) aE(X) + b Var(aX + b) a^2 Var(X) E(X) Sigma x P(X=x) E(f(X)) Sigma f(x) P(X=x) Var(aX - bY) a^2 Var(X) + b^2 Var(Y) Var(X) E(X-mu)^2 = E(X^2) - mu^2 E(aX - bY) aE(X) - bE(Y) E(X1 + X2 + X3) 3 E(X) Var(X1 + X2 + X3) 3 Var(X) E(X^2) Sigma x^2 P(X=x) Var(aX - b) a^2 Var(X)
  • 4. Fat Dan’s Casino(-0.77) Combination None Lemon Cherries $s/Cherry $$$ Sum x -1 4 9 14 19 P(X=x) 0.977 0.008 0.008 0.006 0.001 1 E(X) -0.977 0.032 0.072 0.084 0.019 -0.77 x P(X=x) Var(X) 0.0516833 0.1820232 0.7636232 1.3089174 0.3908529 2.6971 (x-E(X))^2 P(X=x) 사건x 에 대한 환률분포 1.00 0.75 E(X) = -0.77 0.50 Var(X) = 2.69 P(X=x) 0.25 0 -1 4 9 14 19
  • 5. Fat Dan’s Casino(-0.85) Combination None Lemon Cherries $s/Cherry $$$ Sum x -2 23 48 73 98 P(X=x) 0.977 0.008 0.008 0.006 0.001 1 E(X) -1.954 0.184 0.384 0.438 0.098 -0.85 x P(X=x) Var(X) 1.2920825 4.55058 19.09058 32.722935 9.7713225 67.4275 (x-E(X))^2 P(X=x) 사건x 에 대한 환률분포 1.00 E(X) = -0.85 0.75 0.50 Var(X) = 67.4275 P(X=x) 0.25 0 -2 23 48 73 98
  • 6. Linear Transform Y = 5X + 3 E(Y) = 5 E(X) + 3 Var(Y) = 5^2 Var(X) Var(aX +b) = a^2 Var(X)
  • 7. Independent Observation E(X1 + X2 + ... Xn) = nE(X) Var(X1 + X2 + ... Xn) = nVar(X) X1 + X2 is not the same as 2X. compare Var(X1 + X2) vs Var(2X)
  • 8. Transform or Observation?(Q) Linear Independent transform obseration The amount of coffee in an extra large cup of coffee; o X is the amount of coffee in a normal-size cup Drinking an extra cup of coffee per day; o X is the amount of coffee in a cup Finding the net gain from buying 10 lottery tickets; o X is the net gain of buying 1 lottery ticket Finding the net gain from a lottery ticket after the price of tickets goes up; o X is the net gain of buying 1 lottery ticket. Buying an extra hen to lay eggs for breakfast; o X is the number of eggs laid per week by a certain breed of hen
  • 9. New slot machine on the block(Y) E(X - Y) = E(X) - E(Y) Var(X - Y) = Var(X) + Var(Y) E(aX + bY) = aE(X) + bE(Y) Var(aX + bY) = a^2 Var(X) + b^2 Var(Y) E(aX - bY) = aE(X) - bE(Y) Var(aX - bY) = a^2 Var(X) + b^2 Var(Y)

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