Test P Flashcards

1
Q

Cov(X,X) = ?

A

Var(X)

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2
Q

What equation relates Var(X,Y) with covariance?

A

Var(X,Y) = Var(X) + Var(Y) + 2Cov(X,Y)

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3
Q

Shortcut formula for Var(X)?

A

Var(X) = E(X2) - E(X)2

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4
Q

Var(aX) = ?

A

a2Var(X)

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5
Q

Cov(aX1 + bX2, Y1 + Y2) = ?

A

aCov(X1,Y1) + aCov(X1,Y2) + bCov(X2,Y1) + bCov(X2,Y2)

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6
Q

If X and Y are independent, then MX+Y(t) = ?

A

MX(t) x MY(t)

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7
Q

If X and Y are independent, then Var(X+Y) = ?

A

Var(X) + Var(Y)

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8
Q

fY|X=x(y|X=x) = ?

A

fXY(x,y)/fX(x)

plug in x

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9
Q

correlation coefficient p?

A

p(x,y) = Cov(X,Y)/[√Var(X)√Var(Y)]

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10
Q

Cov(X,Y) = ?

A

E(XY) - E(X)E(Y)

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11
Q

Given random variables Y1 , … , Yn with common CDF FY(y),

let X = max(Y1 , … , Yn).

What would FX(x) equal?

A

(FY(x))n

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12
Q

relationship between f(y) and F(y)?

A

f(y) = F’(y)

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13
Q

E(X) = ?

X is continuous with PDF fX(x)

A

E(X) = ∫x fx(x) dx

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14
Q

Bayes Theorem:

Pr(U|D) = ?

where S,P,U are a partition of probability space

A

Pr(D|U)Pr(U)

____________________________

Pr(D|S)Pr(S) + Pr(D|P)Pr(P) + Pr(D|U)P(U)

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15
Q

Necessary condition for independence of two continuous random variables:

region where joint density is positive is _________, and if joint density is product of _______.

What can you conclude about Cov(X,Y) if X and Y meet these conditions?

A

rectangular with sides parallel to axe

function of first variable only and function of second variable only

Cov(X,Y) = 0

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16
Q

Variance of uniform distribution from (a,b)?

A

(b-a)2/12

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17
Q

Darth Vader Rule

E(max(T,2)) = ?

A

2 + ∫2sT(x) dx

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18
Q

Survival function of exponential random variable T with mean 3?

A

sT(t) = e-t/3

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19
Q

Survival function in terms of F?

A

s(x) = 1 - F(x)

20
Q

Darth Vader Rule

E(X) = ? in terms of s(x)

A

E(X) = ∫0s(x) dx

21
Q

Let’s say F(x) = 0 for 0 < x < 1

and F(x) = (1-(1/y3))3 for x > 1

Describe s(x)

A

s(x) = 1 for 0 < x < 1

s(x) = 1 - (1/y3))3

22
Q

If events A and B are independent, what 3 things are true:

A

Pr(A∩B) = Pr(A)Pr(B)

Pr(A|B) = Pr(A)

Pr(B|A) = Pr(B)

23
Q

if X = g(Y) and fx is PDF of X

then fY(y) = ?

A

fX(x(y)) |dx/dy|

24
Q

0 yme-my dy = ?

A

Mean of exponential random variable with hazard rate m;

1/m

25
Q

PDF of Poisson (Pr(N=n)) with lambda = L

A

fN(n) = (e-LLn)/n!

26
Q

Pr(A∪B) = ?

A

Pr(A) + Pr(B) - Pr(A∩B)

27
Q

X and Y are bivariate normally distributed with both means μx = μy = 0, σx2, σy2 and correlation pxy.

What is Var(Y|X=x)?

A

Var(Y|X=x) = (1-pxy2)(σy2)

28
Q

Var(aX+bY+cZ) when given Cov between X Y and Z

A

a2Var(X) + b2Var(Y) + c2Var(Z) + 2abCov(X,Y) + 2acCov(X,Z) + 2bcCov(Y,Z)

29
Q

Recall this key formula which relates Var(Y) to Var(Y|X)

A

Var(Y) = E(Var(Y|X))+Var(E(Y|X))

30
Q

ChebyShevs Inequality?

A

Pr(|X-u|/σ > r) < 1/r2

31
Q
A
32
Q

X has CDF FX(x).

Let X(1), …, X(n) be ordered statistics.

What is FX(n)(x) and SX(n)(x)?

A

FX(n)(x) = (FX(x))n

SX(n)(x) = 1 - (FX(x))n

33
Q

X has CDF FX(x).

Let X(1), …, X(n) be ordered statistics.

What is FX(1)(x) and SX(1)(x)?

A

FX(1)(x) = 1 - (1 - FX(x))n

SX(1)(x) = (1 - FX(x))n

… i think check NB

34
Q
A
35
Q

What does the hazard rate function equal in terms of the survival function s(x)?

A

d/dx -(ln(s(x)))

36
Q

How to find E(X2|Y=y) when given fxy?

A

Integrate x2 fx(x|Y=y)

37
Q

What is the PDF of an exponential distribution with hazard rate a?

A

ae-ax

38
Q

Moment generating function of exponential function with hazard rate a?

A

MT(t) = a/(a-t)

39
Q
A
40
Q

convolution formula:

let Z = X + Y, what is fX+Y(z) in terms of fXY?

A

Integral of fXY(x,z-x) dx

41
Q
A
42
Q
A
43
Q
A
44
Q
A
45
Q
A
46
Q
A