Batches that consist of 50 coil springs from a production process are checked for conformance to customer requirements. The mean number of nonconforming coil springs in a batch is five. Assume that the number of nonconforming springs in a batch, denoted as X, is a binomial random variable. (a) What are n and p

Respuesta :

Answer:

a)n=50

P= 0.1

Step-by-step explanation:

Given:

Number in batch=50

Number of non-conformance=5

n = number in the batch. Therefore n=50

P= Probability of non-conformance= 5/50=0.1

Answer:

a) 1/10

b) 0.112

c) [tex]P(X\geq 49) = 4.51 *10^{-48}[/tex]

Step-by-step explanation:

An image is attached for the additional question.

The question is a binomial distribution problem

a) mean = np

And mean = 5, n = 50

[tex]E(X) = np\\5 = 50 * p\\5 = 50p\\\frac{5}{50} =\frac{50p}{50} \\p = \frac{1}{10}[/tex]

b) What is P(X ≤ 2)?

[tex]nCx(p)^{x}(q)^{n-x} \\q = 1 - p = 1 - \frac{1}{10} =\frac{9}{10} \\P(X\leq 2) = P(0) + P(1) + P(2)\\P(X\leq 2) = 50C0(\frac{1}{10} )^{0}(\frac{9}{10}) ^{50-0} + 50C1(\frac{1}{10})^{1}(\frac{9}{10}) ^{50-1} + 50C2(\frac{1}{10} )^{2}(\frac{9}{10}) ^{50-2}\\P(X\leq 2) = 50C0(0.1 )^{0}(0.9) ^{50-0} + 50C1(0.1 )^{1}(0.9) ^{50-1} + 50C2(0.1 )^{2}(0.9) ^{50-2}\\P(X\leq 2) = 50C0(0.1 )^{0}(0.9) ^{50} + 50C1(0.1 )^{1}(0.9) ^{49} + 50C2(0.1 )^{2}(0.9) ^{48}[/tex]

[tex]P(X\leq 2) = 1*1*0.005153775 + 50* 0.1*0.005726417 + 1225 * 0.01*0.006362685\\P(X\leq 2) =0.005153775 + 0.028632084 + 0.077942897\\P(X\leq 2) = 0.111728756\\P(X\leq 2) = 0.112[/tex]

c)  P(X≥49)  =   P(X=49) + P(X=50)

[tex]P(X\geq 49) = P(49) + P(50)\\P(X\geq 49) = 50C49(\frac{1}{10})^{49}(\frac{9}{10}) ^{50-49} + 50C50(\frac{1}{10} )^{50}(\frac{9}{10}) ^{50-50}\\P(X\geq 49) = 50C49(0.1)^{49}(0.9) ^{1} + 50C50(0.1 )^{50}(0.9) ^{0}\\P(X\geq 49) = 50*(0.1)^{49}*0.9 + 1 * (0.1 )^{50}*1\\P(X\geq 49) = 4.5*10^{-48}+ 1 *10^{-50}\\P(X\geq 49) = 4.51 *10^{-48}[/tex]

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