Let's say the probability that a Major league baseball player hits a homerun is 0.099. What is the probability that he hits exactly 40 homeruns in his next 500 at bats?
n= | 500 | p= | 0.0990 |
here mean of distribution=μ=np= | 49.50 | |
and standard deviation σ=sqrt(np(1-p))= | 6.68 | |
for normal distribution z score =(X-μ)/σx |
therefore from normal approximation of binomial distribution and continuity correction: |
probability that he hits exactly 40 home runs in his next 500 at bats :
probability =P(39.5<X<40.5)=P((39.5-49.5)/6.678)<Z<(40.5-49.5)/6.678)=P(-1.5<Z<-1.35)=0.0885-0.0668=0.0217 |
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