/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Q. T5.12 Three machines鈥擜, B, and C鈥攁... [FREE SOLUTION] | 91影视

91影视

Three machines鈥擜, B, and C鈥攁re used to produce a large quantity of identical parts at

a factory. Machine A produces 60%of the parts, while Machines B and C produce

30%and 10%of the parts, respectively. Historical records indicate that 10%of the parts

produced by Machine A are defective, compared with 30%for Machine B, and 40%for

Machine C. Suppose we randomly select a part produced at the factory.

a. Find the probability that the part is defective.

b. If the part is inspected and found to be defective, what鈥檚 the probability that it was

produced by Machine B?

Short Answer

Expert verified

a. The probability that the part is defective is 19%.

b. The probability that a part is inspected and found to be defective is produced by machine B is 47.37%.

Step by step solution

01

Part (a): Step 1: Given information

We have been given that Machine A produces 60%of the parts, while Machines B and C produce 30%and 10%of the parts, respectively while 10%of the parts produced by Machine A are defective, compared with 30%for Machine B and 40%for Machine C.

We need to find out the probability that the part is defective.

02

Part (a): Step 2: Explanation

Let A=Machine A, B=Machine B, C=Machine C, D=Defective.

PA=60%=0.60PB=30%=0.30PC=10%=0.10PDA=10%=0.10PDB=30%=0.30PDC=40%=0.40PAandD=PAPDA=0.600.10=0.06PBandD=PBPDB=0.300.30=0.09PCandD=PCPDC=0.100.40=0.04usingtheadditionruleformutuallyexclusiveeventsPD=PAandD+PBandD+PCandD=0.06+0.09+0.04=0.19=19%

03

Part (b): Step 1: Given information

We have been given that Machine A produces 60%of the parts, while Machines B and C produce 30%and 10%of the parts, respectively while10%of the parts produced by Machine A are defective, compared with 30% for Machine B and 40% for Machine C.

We need to find out the probability that a part is inspected and found to be defective is produced by machine B.

04

Part (b): Step 2: Explanation

Using the concept of conditional probability

PBandD=0.09PD=0.19PBD=PBandDPD=0.090.19=9190.4737=47.37%

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91影视!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

AARP, and Medicare (4.1) To find out what proportion of Americans support proposed

Medicare legislation to help pay medical costs, the AARP conducted a survey of their

members (people over age 50 who pay membership dues). One of the questions was:

鈥淓ven if this plan won鈥檛 affect you personally either way, do you think it should be passed

so that people with low incomes or people with high drug costs can be helped?鈥 Of the

respondents, 75% answered 鈥淵es.鈥

a. Describe how undercoverage might lead to bias in this study. Explain the likely

direction of the bias.

b. Describe how the wording of the question might lead to bias in this study. Explain the

likely direction of the bias.

Bull鈥檚-eye! In a certain archery competition, each player continues to shoot until he or she misses the center of the target twice. Quinn is one of the archers in this competition. Based on past experience, she has a 0.60probability of hitting the center of the target on each shot. We want to design a simulation to estimate the probability that Quinn stays in the competition for at least 10shots. Describe how you would use each of the following chance devices to perform one trial of the simulation.

a. Slips of paper

b. Random digits table

c. Random number generator

Butter side down Refer to the preceding exercise. Maria decides to test this

probability and drops 10 pieces of toast from a 2.5-foot table. Only 4of them land butter

side down. Maria wants to perform a simulation to estimate the probability that 4or

fewer pieces of toast out of 10would land butter side down if the researchers鈥 0.81

probability value is correct.

a. Describe how you would use a table of random digits to perform the simulation.

b. Perform 3trials of the simulation using the random digits given. Copy the digits onto

your paper and mark directly on or above them so that someone can follow what you

did.

29077
14863
61683
47052
62224
51025
95052
90908
73592
75186
87136
95761
27102
56027
55892
33063
41842
81868

c. The dotplot displays the results of 50 simulated trials of dropping 10pieces of toast.

Is there convincing evidence that the researchers鈥 0.81probability value is incorrect?

Explain your answer.

Rock smashes scissors Almost everyone has played the game rock-paper-scissors at some point. Two players face each other and, at the count of 3, make a fist (rock), an extended hand, palm side down (paper), or a 鈥淰鈥 with the index and middle fingers (scissors). The winner is determined by these rules: rock smashes scissors; paper covers rock; and scissors cut paper. If both players choose the same object, then the game is a tie. Suppose that Player 1and Player 2 are both equally likely to choose rock, paper, or scissors. a. Give a probability model for this chance process. b. Find the probability that Player 1wins the game on the first throw .

Education among young adults Choose a young adult (aged 25to 29) at random. The probability is 0.13that the person chosen did not complete high school, 0.29that the person has a high school diploma but no further education, and 0.30that the person has at least a bachelor鈥檚 degree.

a. What must be the probability that a randomly chosen young adult has some education beyond high school but does not have a bachelor鈥檚 degree? Why?

b. Find the probability that the young adult completed high school. Which probability rule did you use to find the answer?

c. Find the probability that the young adult has further education beyond high school. Which probability rule did you use to find the answer?

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.