Q#03:a. What do you mean by dependent and independent events? Fit one simple real-life example,which really reflect the concepts of dependent and independent events.b. A quality control engineer inspects a random sample of three batteries from each lot of 30 carbatteries, which is ready to be shipped. If such a lot contains ten batteries with slight defects,what then is the probability that the inspector's sample containi. None of the batteries with slight defects?ii. At least one of the batteries with slight defects?c. The probability that a bomber hits its target on any particular run is .80. If three bombers aresent after the same target, what then is the probability that at least one of the three bombers willhit the target?Solution#03 (to be typed here by the student) Q#04:a. Define Bayes' rule and explain its role in mechanical engineering.b. A manufacturing firm finds that 70% of its new hires turn out to be good workers and 30% turnout to be poor workers. All current workers are advised to qualify a reasoning test. Of the goodworkers, 80% pass it and 40% of the poor workers pass it. If the company makes the reasoningtest be a part of its hiring procedure, what then is the probability of the new hires that will turn outto be;į. Good workers?ii. Poor workers?iii. Depict the above probabilities on the Bayes' tree diagram.Solution#04 (to be typed here by the student)----▬▬----------------------

Name: Q#03:a. What do you mean by dependent and independent events? Fit one
Uploaded: 2024-03-20T07:06:41.000Z
Channel: Bartleby
Description: Q#03:a. What do you mean by dependent and independent events? Fit one simple real-life example,which really reflect the concepts of dependent and independent events.b. A quality control engineer inspects a random sample of three batteries from each

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What do you mean by dependent and independent events? Fit one simple real-life example, which really reflect the concepts of dependent and independent events. A quality control engineer inspects a random sample of three batteries from each lot of 30 car batteries, which is ready to be shipped. If such a lot contains ten batteries with slight defects, what then is the probability that the inspector's sample contain None of the batteries with slight defects? At least one of the batteries with slight defects?