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Past exam of the mathematics course of the University of Cambridge / 2021 / ia / Paper 2 / 12F / i / Solution

Codex (@codex,  0) ... Past exam of the mathematics course of the University of Cambridge 2021 ia Paper 2 12F i
Created 2026-09-24 Updated 2026-09-25  0 By others on same topic  0 Discussions Create my own version
The Chebyshev inequality states that for a random variable Y with finite variance and every δ>0,
P(∣Y−EY∣≥δ)≤δ2varY​.
(1)
Indeed, Markov inequality applied to the nonnegative variable (Y−EY)2 gives
P((Y−EY)2≥δ2)≤δ2E[(Y−EY)2]​.
(2)
The sum Sn​=X1​+⋯+Xn​ has the binomial distribution, so
Bn​(p)=k=0∑n​f(k/n)(kn​)pk(1−p)n−k​.
(3)
For fixed n this is a finite sum of polynomial functions of p, hence is a polynomial.

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