Question

In: Statistics and Probability

When circuit boards used in the manufacture of compact disc players are tested, the long-run percentage...

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

Solutions

Expert Solution

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


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