A manufacturer of ceramic blades estimates that 1.25% of all blades produced are too brittle to use.We take a random sample of 400 blades.
Use an appropriate approximation to find the approximate probability that at least 4 blades will be too brittle to use.
Solution:
Given that,
P = 0.0125
1 - P = 0.9875
n = 400
Here, BIN ( n , P ) that is , BIN (400 , 0.0125)
then,
n*p = 400 * 0.0125 = 5 5
n(1- P) = 400 * 0.9875 = 395 5
According to normal approximation binomial,
X Normal
Mean = = n*P = 5
Standard deviation = =n*p*(1-p) = 4.9375
We using continuity correction factor
P(X a ) = P(X > a - 0.5)
P(x > 3.5) = 1 - P(x < 3.5)
= 1 - P((x - ) / < (3.5 - 5) / 4.9375)
= 1 - P(z < -0.68)
= 1 - 0.2483
= 0.7517
Probability = 0.7517
The approximate probability that at least 4 blades will be too brittle to use is 0.7517.
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