RV and their distributions (week 5) Flashcards

1
Q

Continuous Random Variable corner is

A

smooth or differentiable

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2
Q

What is the derivative of CDF?

A

PDF

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3
Q

Measure probability of an interval

A

use integral max b and low a.

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4
Q

Properties of PDF (2)

A
  1. non negative
  2. area under PDF must be 1
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5
Q

Expected value of continuous RV

A

E(X) = integral max infinity and min neg infinity of xf(X)dx

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6
Q

Using LOTUS find g(X)

A

E(g(X)) = integral max infinity and min neg infinity of g(x)f(X)dx

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7
Q

CDF of unif var

A

integral max x and min a of 1/b-a dt = (x-a)/(b-a)

min and maxnya bebas ya pokoknya dikurang di atasnya

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8
Q

mean of unif var

A

(b+a)/2

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9
Q

var of unif var

A

(b-a)^2/12

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10
Q

location-scale transformation

A

X ~ Unif(a,b) -> Y = c+dX ~ Unif(c + ad, c +bd)

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11
Q

The importance of the Uniform Dist

A
  1. If U ~ Unif(0,1) then X = F^(-1) (U) is a RV with CDF F
  2. If X is a RV with CDF F, then F(x) ~ Unif(0,1)
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12
Q

Central Limit Theorem

A

Sum of very large number i,i,d RV is approx normal

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13
Q

What is Z? given N(µ, σ)

A

(X-µ)/σ

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14
Q

exponential RV?

A

E(X) = 1/lamda
Var(X) = 1/lamda^2

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15
Q

What if ask
a. P(Z<1.33)
b. P(Z<-0.79)
c. P(Y <0.33) where Y = 0.5Z-1

A

a. 0.5+P(0<Z<1.33)
b. 0.5-P(0<Z<0.79)
c. Y + 1 = 0.5Z
Z = (Y+1)/0.5 = 2(y+1)
so, P(2(Y+1) < 2x(1+0.33))

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