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Question 3 Consider a binomial distribution with a success probability of p = 0.65 and repeated 100 times. What is the normal

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Answer #1

X~binomial(p=0.65)

a)

Y=100*X ~ Normal(mean=100*0.65=65,variance=n*p*(1-p)=100*0.65*0.35=22.75)

Y~ Normal(65,22.75)

b)

Use the approximation to find the probability that the number of successes is between 60 and 70 in the 100 repetitions

p(60 < Y < 70)

=NORMDIST(70,65,SQRT(22.75),1)-NORMDIST(60,65,SQRT(22.75),1)

=0.8527-0.1472
=0.7055

c)

What is the normal distribution that approximates this binomial distribution with 1,000 repetitions

z ~ Normal(650,227.5)

d)

Use the approximation to find the probability that the number of successes is between 600 and 700 in the 1,000 repetitions.

p(60 < Z < 70)

=NORMDIST(700,650,SQRT(227.5),1)-NORMDIST(600,650,SQRT(227.5),1)

=0.999

e)

Find such that the probability of the number of successes between 650 - x and 650 + in 1,000 repetitions in the same as the probability of success between 60 and 70 in 100 repetitions.

we have to find k1 such a that

p(Z< K1)=(1-0.7055)/2

=0.1472

k1=NORMINV(0.1472,650,SQRT(227.5))

=634.1886

k1=650-x

hence x= 650-634.1886

x=15.8114

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