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