. Samples of 20 parts from a metal punching process are selected every hour. Typically, 1% of the parts require rework. Let X denote the number of parts in the sample of 20 that require rework. A process problem is suspected if X exceeds its mean by more than 3 standard deviations. (a) If the percentage of parts that require rework remains at 1%, what is the probability that X exceeds its mean by more than 3 standard deviations? (b) If the rework percentage increases to 4%, what is the probability that X exceeds 1? (c) If the rework percentage increases to 4%, what is the probability that X exceeds 1 in at least one of the next five hours of samples?

Respuesta :

Answer:

(a) 0.0169

(b) 0.189

(c) 0.651

Step-by-step explanation:

As per the question:

Total no. of samples, n = 20

Let the no. of parts requiring rework be any random variable X

The parameters for binomial distribution n = 20, p

Thus the probability distribution function in X is given by:

[tex]P(X = K) = ^{20}C_{k}(p)^{K}\times (1 - p)^{20 - K}[/tex]        (1)

where

K = 0, 1, 2, ...., 20

Now,

(a) Put the value of 'p' as 0.01 in eqn (1):

Mean is given as the product of n and p as:

E(X) = [tex]n\times p = 20\times 0.01 = 0.2[/tex]

Standard deviation is given by:

[tex]\sigma = \sqrt{npq} = \sqrt{np(1 - p)} = \sqrt{20\times 0.01(1 - 0.01)} = 0.445[/tex]

If the rework is required for 2 out of 20 parts, then:

P(X > 1.53) = 1 - P(X = 0) - P(X = 1) = 0.0169

(b) When p = 0.04, probability is given by eqn (1):

P(X > 1) = 1 - P(X = 0) - P(X = 1)

[tex]P(X > 1) = 1 - (^{20}C_{0}(0.04)^{0}\times (1 - 0.04)^{20 - 0}) - (^{20}C_{1}(0.04)^{1}\times (1 - 0.04)^{20 - 1}) = 0.189[/tex]

(c) let the no. of hours (out of 5 hrs) be represented by another random variable Y, then:

[tex]p_{Y} = P(Y = K) = ^{5}C_{K}(p_{Y})^{K}\times (1 - p_{Y})^{5 - K}[/tex]    (2)

Now, the probability is given by:

P[tex](Y\geq 1) = 1 - P(Y = 0) = ^{5}C_{0}(p_{Y})^{0}\times (1 - 0.189)^{5 - 0} = 0.651[/tex]