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Exercise 11.5 · Q4

Q.The probability that a certain kind of component will survive an electrical test is 34\dfrac34. Find the probability that exactly 33 of the 55 components tested survive.

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Concept understanding — Bernoulli Trials and Binomial Distribution

A Bernoulli trial is a random experiment with exactly two mutually exclusive, exhaustive outcomes — success or failure — repeated independently with the success probability pp held fixed across repetitions.

Bernoulli distribution (Definition 11.10): with X(success)=1X(\text{success})=1, X(failure)=0X(\text{failure})=0,

f(x)=pxq1−x,x=0,1,q=1−p.f(x)=p^xq^{1-x},\qquad x=0,1,\quad q=1-p.

Mean =p=p, variance =pq=pq (derived in the Mean-&-Variance-of-Standard-Distributions concept).

Binomial distribution (Definitions 11.11-11.12): if XX counts the number of successes across nn independent Bernoulli trials, each with the same success probability pp, then X∼B(n,p)X\sim B(n,p) with pmf

f(x)=P(X=x)=(nx)pxqn−x,x=0,1,2,…,n,q=1−p.f(x)=P(X=x)=\binom nx p^xq^{n-x},\qquad x=0,1,2,\dots,n,\quad q=1-p.

(nx)\binom nx counts the number of ways to choose which xx of the nn trials were successes; each such arrangement has probability pxqn−xp^xq^{n-x} by independence, and summing (nx)pxqn−x\binom nx p^xq^{n-x} over x=0,…,nx=0,\dots,n recovers the binomial expansion (p+q)n=1n=1(p+q)^n=1^n=1 — the reason for the name "binomial". …

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