6.47 Statistics Normal Probability Distribution Problem?
Answer at the back of the book: .9441
My wrong answer: .9306
Please show me step-by-step how you derived at the correct answer .9441. Thank you very much.
Favorite Answer
X has the binomial distribution with 215 trials and a success probability of 0.90
In general, if X has the binomial distribution with n trials and a success probability of p then
P[X = x] = n!/(n!(n-1)!) * p^x * (1-p)^(n-x)
for values of x = 0, 1, 2, …, n
for all guess to arrive and get a room you need 200 or fewer to show up.
P(X ≤ 200) = 1 – P(X > 200)
=1 – ( P[X = 201] + P[X = 202] + …. + P[X = 215])
= 0.95035
You can use the normal approximation to the binomial if np > 10 and n(1-p) > 10. Both are true here.
using the normal approximation to the binomial you have X ~ N(n*p, n*p*(1-p)) = N(193.5, 19.35)
P[X < 200] = P[X < 200.5] because of the continuity correction. Now convert to standard units P[X < 200.5] = P[Z < (200.5 - 193.5)/Sqrt(19.35)] = P[Z < 1.59] where Z is the standard normal P[Z < 1.59] = 0.9441 from the standard normal tables. looking at your answer you forgot the continuity correction.
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