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Q: If 1.5 percent of the bolts made by a automotive factory what is the probability in a shipment of 200 that there are 6 defective bolts?
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If forty percent of the workers in a certain factory are members of a union find approximate probability that in a sample of threehundred workers the number of union members is between 100 and 130?

120


The staff at a small company includes 4 secretaries 20 technicians 4 engineers 2 executives and 50 factory workers If a person is selected at random what is the probability that he or she is a?

To find the probability of drawing a person from any group, take the number in that group and divide by the total number of people. There are 80 total people in your example. P(secy) = 4/80 = 0.05 P(tech) = 20/80 = 0.25 P(engr) = 4/80 = 0.05 P(exec) = 2/80 = 0.025 P(fact worker) = 50/80 = 0.625


The Staff at a small company includes 4 secretaries 20 technicians 4 engineers 2 executives and 50 workers. If a person is selected at random what is the probabilty that he or she is a factory worker?

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The probability that a trainee will remain with a company is 0.6 The probability that an employee earns more than Rs10 000 per year is 0.5 The probability that an employee is a trainee who remaine?

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What would be a good reason for testing the entire population of widgets produced at your factory instead of just a sample?

to produce a product with zero defects

Related questions

Factory workers test 60 batteries. 24 batteries are defective. What is the experimental probability that a battery is defective?

Just divide 24 (the number of defective batteries) by 60 (the total number).


If 1 percent of the bolts made by an automotive factory are defective what is the probability that in a shipment of 175 bolts there are 6 defective bolts?

If 1% of the bolts are defective, then the probability is that close to 2 bolts will be defective if there are 175 bolts. The actual probability is that 1.75 bolts will be defective, but you can not have 3/4 of a bolt. However you know there are going to be runs when you have no errors and runs when you have several error. You would need to make 300 bolts in order to have a run of 125 with no errors to have 3 defective bolts in a run of 1.75 bolts. Likewise, you would need to make a minimum of 600 bolts to have six defective bolts in 1.75 bolts. Then you would have 425 good bolts. However, you are dealing with probabilities, not with getting the machinery started the first thing in the morning. Since there is a 1% error rate, you must assume this is a random rate. It occurs like dice or a coin flip. With the last coin tossed, you have no idea what the next coin flip will be. It is not like the next coin flip will be the opposite. Using the Monte Carlo method, I got .29%. Good luck


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