Consider a binomial experiment with 15 trials and probability 0.65 of success on a single trial.
(a) Use the binomial distribution to find the probability of
exactly 10 successes. (Round your answer to three decimal
places.)
(b) Use the normal distribution to approximate the probability of
exactly 10 successes. (Round your answer to three decimal
places.)
(c) Compare the results of parts (a) and (b).
These results are almost exactly the same.These results are fairly different.
a)
X ~ Bin( n,p)
Where n = 15 , p = 0.65
P(X) = nCx px ( 1 - p)n-x
P(X = 10) = 15C10 * 0.6510 * 0.355
= 0.2123
b)
Mean = np = 15 * 0.65 = 9.75 ,
Standard deviation = sqrt (np(1-p) ) = sqrt ( 15 * 0.65 * 0.35) = 1.8473
Using normal approximation,
P(X < x) = P(Z < x - Mean / SD)
With continuity correction,
P(X = 10) = P(9.5 < X < 10.5)
= p(X < 10.5) - P(X < 9.5)
= P(Z < (10.5 - 9.75) / 1.8473) - P(Z < (9.5 - 9.75) / 1.8473)
= P(Z < 0.41) - P(Z < -0.14)
= 0.6591 - 0.4443
= 0.2148
c)
Difference between these two probabilities = 0.2148 - 0.2123 = 0.0025
Since this probability difference is less than 0.5, these results are almost exactly the same.
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