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Olegator [25]
2 years ago
6

Three data entry specialists enter requisitions into a computer. Specialist 1 processes 42 percent of the requisitions, speciali

st 2 processes 27 percent, and specialist 3 processes 31 percent. The proportions of incorrectly entered requisitions by data entry specialists 1, 2, and 3 are 0.04, 0.01, and 0.05, respectively. Suppose that a random requisition is found to have been incorrectly entered. What is the probability that it was processed by data entry specialist 1? By data entry specialist 2? By data entry specialist 3? (Round your answers to 3 decimal places.)
Mathematics
1 answer:
suter [353]2 years ago
5 0

Answer:

The probabilities are 0.480;0.077 and 0.443 respectively

Step-by-step explanation:

This is a conditional probability exercise.

Let's define conditional probability :

Given two events A and B :

P(A/B)=\frac{P(A,B)}{P(B)} \\P(B) > 0

P(A,B) = P(A∩B) = P(B∩A) = P(B,A) : Is the probability that event A and event B occur at the same time.

We define the following events :

S1 : ''Specialist 1 processes requisitions''

S2 : ''Specialist 2 processes requisitions''

S3 : ''Specialist 3 preocesses requisitions''

I : ''Incorrect entered requisitions''

In our exercise :

P(S1)=0.42\\P(S2)=0.27\\P(S3)=0.31\\P(I/S1)=0.04\\P(I/S2)=0.01\\P(I/S3)=0.05

We are ask to find

P(S1/I) ;P(S2/I);P(S3/I)

We write the conditional equations :

P(I/S1)=\frac{P(I,S1)}{P(S1)} \\0.04=\frac{P(I,S1)}{0.42} \\P(I,S1)=0.0168

P(I/S2)=\frac{P(I,S2)}{P(S2)} \\0.01=\frac{P(I,S2)}{0.27} \\P(I,S2)=0.0027

P(I/S3)=\frac{P(I,S3)}{P(S3)} \\0.05=\frac{P(I,S3)}{0.31} \\P(I,S3)=0.0155

We also define

P(A∪B) = P(A) + P(B) - P(A∩B)

P(I) = P [(I,S1)∪(I,S2)∪(I,S3)]

P(I) =P(I,S1) +P(I,S2)+P(I,S3)\\P(I)=0.0168+0.0027+0.0155\\P(I)=0.035

There is no intersection between (I,S1);(I,S2) and (I,S3) because they are mutually exclusive events.

P(S1/I)=\frac{P(I,S1)}{P(I)} =\frac{0.0168}{0.035} =0.480\\P(S2/I)=\frac{P(I,S2)}{P(I)} =\frac{0.0027}{0.035} =0.077\\P(S3/I)=\frac{P(I,S3)}{P(I)} =\frac{0.0155}{0.035} =0.443

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Answer:

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Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

Problems of normally distributed samples are solved using the z-score formula.

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What is the probability that the mean thickness in the sample of 100 points is within 0.1 mm of the target value?

This is the pvalue of Z when X = 2 + 0.1 = 2.1 subtracted by the pvalue of Z when X = 2 - 0.1 = 1.9. So

X = 2.1

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Z = \frac{X - \mu}{s}

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