In studies for a medication, 9 percent of patients gained weight as a side effect. Suppose 697 patients are randomly selected. Use the normal approximation to the binomial to approximate the probability that
(a) exactly 63 patients will gain weight as a side effect.
(b) no more than 63 patients will gain weight as a side effect.
(c) at least 77 patients will gain weight as a side effect. What does this result suggest?
X ~ Bin ( n , p)
Where n = 697 , p = 0.09
Using Normal Approximation to Binomial
Mean = n * P = ( 697 * 0.09 ) = 62.73
Variance = n * P * Q = ( 697 * 0.09 * 0.91 ) = 57.0843
Standard deviation = √(variance) = √(57.0843) = 7.5554
a)
With continuity correction
P(X = 63) = P(62.5 < X < 63.5)
P ( 62.5 < X < 63.5 ) = P ( Z < ( 63.5 - 62.73 ) /
7.5554 ) - P ( Z < ( 62.5 - 62.73 ) / 7.5554 )
= P ( Z < 0.1) - P ( Z < -0.03 )
= 0.5398 - 0.488
= 0.0518
b)
With continuity correction
P(X <= 63) = P(X < 63.5)
P ( ( X < 63.5 ) = P ( Z < 63.5 - 62.73 ) / 7.5554 )
= P ( Z < 0.1 )
P ( X < 63.5 ) = 0.5398
c)
With continuity correction
P(X >= 77) = P(X > 76.5)
P ( X > 76.5 ) = P(Z > (76.5 - 62.73 ) / 7.5554 )
= P ( Z > 1.82 )
= 1 - P ( Z < 1.82 )
= 1 - 0.9656
= 0.0344
Since this probability is less than 0.05, the event is unusual.
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