The Normal Distribution Flashcards

1
Q

E(X1 + X2) =

A

E(X1) + E(X2)

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2
Q

E(X1 - X2) =

A

E(X1) - E(X2)

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3
Q

Var(X1 + X2) =

A

Var(X1) + Var(X2)

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4
Q

Var(X1 - X2) =

A

Var(X1) + Var(X2)

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5
Q

what does “o/” signify

A

probability density function (pdf)

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6
Q

what does u and o^2 signify

A
  • u = mean

- o^2 = variance where o = standard deviation

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7
Q

if X~N(u , o^2), o/(x) =

A

(1 / o * root of 2pi) * e^(-1/2(x - u / o)^2)

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8
Q

what is the equation for z in the standardised form

A

z = x - u / o

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9
Q

what is the standardized normal distribution

A

Z~N(0,1)

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10
Q

what is the pdf for the standardised normal distribution

A

(1 / root of 2pi) * e^(-z^2 / 2)

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11
Q

what does the symbol “oT” singnify

A

the cumilative distribution function (cdf)

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12
Q

what does P(Z < z) =

A

oT(z)

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13
Q

what does oT(z) =

A

(1 / root of 2pi) * integration of e^(-1/2 *u^2) with limits z and -infinity

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14
Q

If X1~N(u1 , a^2) and X2~N(u2, b^2), (X1 + X2)~ what

A

N(u1 + u2 , a^2 + b^2) only true for independent random variables

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15
Q

If X~N(u, o^2), what does aX + b equal

A

aX + b~N(au +b, a^2 * o^2)

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