All mind maps topics

Probability density and cumulative distribution functionsEdexcel A-Level Further Maths: Mind map

The pdf
Finding k
The cdf

pdf and cdf

continuous random variables

f(x)\mathrm{f}(x)F(x)\mathrm{F}(x)area
Using F
Link
Exam tips

Exam questions on Probability density and cumulative distribution functions

  1. The continuous random variable XX has probability density function f(x)=kx2\mathrm{f}(x)=kx^2 for 0≤x≤30\leq x\leq3, and f(x)=0\mathrm{f}(x)=0 otherwise, where kk is a constant.
    Find the cumulative distribution function F(x)\mathrm{F}(x) for 0≤x≤30\leq x\leq3.2 marks
  2. The continuous random variable XX has cumulative distribution function F(x)=0\mathrm{F}(x)=0 for x<1x<1, F(x)=x2−18\mathrm{F}(x)=\dfrac{x^2-1}{8} for 1≤x≤31\leq x\leq3, and F(x)=1\mathrm{F}(x)=1 for x>3x>3.
    Find P(1.5<X≤2.5)\mathrm{P}(1.5<X\leq2.5).2 marks
  3. The time XX, in hours, that a customer waits for a delivery has probability density function f(x)=kx\mathrm{f}(x)=kx for 0≤x≤20\leq x\leq2, f(x)=2k\mathrm{f}(x)=2k for 2<x≤42<x\leq4, and f(x)=0\mathrm{f}(x)=0 otherwise, where kk is a constant.
    Show that k=16k=\frac16.3 marks
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Written by the Exaim team, led by Shaun Daswani (Head of Upper Secondary, Improve ME Institute; MSc Financial Mathematics, Imperial College London; BSc, UCL) and Jason Daswani (operational lead, Improve ME Institute; LSE).