Mean and Percentiles for a Continuous Random Variable (VCE SSCE Mathematical Methods): Flashcards

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Mean and Percentiles for a Continuous Random Variable
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Mean formula for continuous RV XX with pdf ff

E(X)=xf(x)dxE(X) = \int_{-\infty}^{\infty} x f(x) \, dx

Symbol for the mean

μ\mu (mu)

Interpretation of E(X)E(X)

Long-run average value

E[g(X)]E[g(X)] formula

g(x)f(x)dx\int_{-\infty}^{\infty} g(x)f(x) \, dx

Relationship: E[g(X)]E[g(X)] vs g[E(X)]g[E(X)] (general case)

E[g(X)]g[E(X)]E[g(X)] \neq g[E(X)] generally

E(aX+b)E(aX + b) in terms of E(X)E(X) (linear function)

aE(X)+baE(X) + b

(100q)(100q)th percentile definition

Value pp where pf(x)dx=q\int_{-\infty}^{p} f(x) \, dx = q

Name for 50th percentile

Median

Median mm satisfies which equation?

mf(x)dx=0.5\int_{-\infty}^{m} f(x) \, dx = 0.5

Median's graphical property (area under pdf)

Divides area exactly in half

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