You play roulette 1000 times, betting $10 on red each time. What is the probability you come out ahead? Show that this Binomial probability model can be approximated by a Normal model. Then use this applicable Normal model to solve the problem.
P(Red) = 18/38
hence probability of win = p = 18/38
S =X1 + X2+ ...X1000
S follow binomial distribution with n = 1000 and p = 18/38
the probability you come out ahead = P(S > 500)
S can be approximated by normal distribution with mu = np and sd = sqrt(npq)
binomial approximation to normal | |
mean | 473.6842 |
sd | 15.789474 |
P(S > 500)
= P(S >= 500.5) continuity correction
= P(Z > (500.5 - 473.6842)/15.789474)
= P(Z > 1.6983 )
= 0.0447
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