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The probability that a patient recovers from a delicate heart operation is 0.9. The next 100 patients having this operation, find the probability that (i) between 84 and 95 (inclusive values) survive? (ii) fewer than 86 survive?

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Here's the Solution to this Question

If X is a binomial random variable with mean μ = np and variance σ^2 = npq, then the limiting form of the distribution of


Z=\dfrac{X-np}{\sqrt{npq}}

as n → ∞, is the standard normal distribution N(0,1).

Given n=100, p=0.9, q=1-p=0.1


\mu=np=100(0.9)=90, npq=100(0.9)(0.1)=9

Use the Continuity Correction Factor

(i)


P(84\le X\le95)=P(X<95+0.5)-P(X<84-0.5)

=P(Z<\dfrac{95.5-90}{\sqrt{9}})-P(Z<\dfrac{83.5-90}{\sqrt{9}})

\approx P(Z<1.833333)-P(Z<-2.166667)

\approx0.96662-0.01513\approx0.9515

(ii)


P(X<86)=P(X<86-0.5)

=P(Z<\dfrac{85.5-90}{\sqrt{9}})\approx P(Z<-1.833333)

\approx0.0334


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Question ID: mtid-4-stid-47-sqid-4367-qpid-86