Question #304042

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?

Expert's answer

If XX is a binomial random variable with mean μ=npμ = np and variance σ2=npq,σ^2 = npq, then the limiting form of the distribution of


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

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

Given n=100,p=0.9,q=1p=0.1n=100, p=0.9, q=1-p=0.1


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

Use the Continuity Correction Factor

(i)


P(84X95)=P(X<95+0.5)P(X<840.5)P(84\le X\le95)=P(X<95+0.5)-P(X<84-0.5)

=P(Z<95.5909)P(Z<83.5909)=P(Z<\dfrac{95.5-90}{\sqrt{9}})-P(Z<\dfrac{83.5-90}{\sqrt{9}})

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

0.966620.015130.9515\approx0.96662-0.01513\approx0.9515

(ii)


P(X<86)=P(X<860.5)P(X<86)=P(X<86-0.5)

=P(Z<85.5909)P(Z<1.833333)=P(Z<\dfrac{85.5-90}{\sqrt{9}})\approx P(Z<-1.833333)

0.0334\approx0.0334


Need a fast expert's response?

Submit order

and get a quick answer at the best price

for any assignment or question with DETAILED EXPLANATIONS!

LATEST TUTORIALS
APPROVED BY CLIENTS