v 18] A machine manufactures electrical components for the car industry at the rate of 750 per hour. The probability a component i faulty is 0.013. Use both the binomial distribution s and the corresponding Poisson approximation to find the probability that in a sample of 200 components (a) none are faulty (b) one is faulty (¢) two are faulty (d) three are faulty (e) more than three are faulty [l @ od014 b 0277 [8 @ Binomial 0.2244; Poisson 02240 (b) 0.1689,0.1680 2 @ 02107 () 03233 (© 03530353 © 08571 & @ 01435 () 0.2983 EXERCISES 29.116 A machine manufactures electrical components forthe car industry at the rate of 750 per hour. Theprobability a component is faulty is 0.013. Use boththe binomial distribution and the correspondingPoisson approximation to find the probability that in asample of 200 components(a) none are faulty(b) one is faulty(c) two are faulty(d) three are faulty(e) more than three are faultySolutions1 (a) 0.1014(b) 0.12773 (a) Binomial 0.2244; Poisson 0.2240(b) 0.1689, 0.16802 (a) 0.2707(c) 0.8571(b) 0.3233(c) 0.353, 0.353(a) 0.1435(b) 0.2983

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Description: v 18] A machine manufactures electrical components for the car industry at the rate of 750 per hour. The probability a component i faulty is 0.013. Use both the binomial distribution s and the corresponding Poisson approximation to find the probabili

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18] A machine manufactures electrical components for the car industry at the rate of 750 per hour. The probability a component i faulty is 0.013. Use both the binomial distribution s and the corresponding Poisson approximation to find the probability that in a sample of 200 components (a) none are faulty (b) one is faulty (¢) two are faulty (d) three are faulty (e) more than three are faulty [l @ od014 b 0277 [8 @ Binomial 0.2244; Poisson 02240 (b) 0.1689,0.1680 2 @ 02107 () 03233 (© 03530353 © 08571 & @ 01435 () 0.2983

18] A machine manufactures electrical components for the car industry at the rate of 750 per hour. The probability a component i faulty is 0.013. Use both the binomial distribution s and the corresponding Poisson approximation to find the probability that in a sample of 200 components (a) none are faulty (b) one is faulty (¢) two are faulty (d) three are faulty (e) more than three are faulty [l @ od014 b 0277 [8 @ Binomial 0.2244; Poisson 02240 (b) 0.1689,0.1680 2 @ 02107 () 03233 (© 03530353 © 08571 & @ 01435 () 0.2983

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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