In: Statistics and Probability
When circuit boards used in the manufacture of compact disc players are tested, the long-run percentage of defectives is 10%. Let X = the number of defective boards in a random sample of size n = 25, so X ~ Bin(25, 0.1). (Round your probabilities to three decimal places.)
(a) Determine P(X ≤ 2).
(b) Determine P(X ≥ 5).
(c) Determine P(1 ≤ X ≤ 4).
(d) What is the probability that none of the 25 boards is
defective?
(e) Calculate the expected value and standard deviation of
X. (Round your standard deviation to two decimal
places.)
| expected value | = boards |
| standard deviation | = boards |
Solution :
Given that n = 25 , p = 0.10
=> q = 1 - p = 0.90
=> from binomial distribution, P(x = r) = nCr*p^r*q^(n-r)
(a)
=> P(x <= 2) = P(x = 0) + P(x = 1) + P(x = 2)
= 25C0*0.10^0*0.90^25 + 25C1*0.10^1*0.90^24 + 25C2*0.10^2*0.90^23
= 0.0718 + 0.1994 + 0.2659
= 0.5371
= 0.537 (rounded)
(b)
=> P(x >= 5) = 1 - P(x < 5)
= 1 - [P(x = 0) + P(x = 1) + P(x = 2) + P(x = 3) + P(x = 4)]
= 1 - [25C0*0.10^0*0.90^25 + 25C1*0.10^1*0.90^24 + 25C2*0.10^2*0.90^23 + 25C3*0.10^3*0.90^22 + 25C4*0.10^4*0.90^21]
= 1 - [0.0718 + 0.1994 + 0.2659 + 0.2265 + 0.1384]
= 1 - 0.9020
= 0.0980
= 0.098 (rounded)
(c)
=> P(1 <= x <= 4) = P(x = 1) + P(x = 2) + P(x = 3) + P(x =
4)
= 25C1*0.10^1*0.90^24 + 25C2*0.10^2*0.90^23 + 25C3*0.10^3*0.90^22 + 25C4*0.10^4*0.90^21
= 0.1994 + 0.2659 + 0.2265 + 0.1384
= 0.8302
= 0.830 (rounded)
(d)
=> P(x = 0) = 25C0*0.10^0*0.90^25
= 0.0718
= 0.072 (rounded)
(e)
=> Expected value E(x) = n*p = 25*0.1 = 2.50
=> standard deviation = sqrt(n*p*q)
= sqrt(25*0.1*0.9)
= 1.50