1. A piece of equipment has a failure rate of 10 failures per million hours, and is run for 1000 hours. What is the probability that the one piece of equipment will survive that 1000 hours? Three (3) of these pieces of equipment are each run for 1000 hours. For the 3 pieces of equipment, use the Binomial equation to calculate: The probability of zero (0) failures. The probability of one (1) failure. The probability more than one (>1) failure. 2. A piece of equipment has a failure rate of 20 failures per million hours. Use the Poisson equation to calculate: The probability of no (0) failures in 5000 hours. The probability of one (1) failure in 5000 hours. The probability of two (2) failures in 5000 hours.

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1. A piece of equipment has a failure rate of 10 failures per million hours, and is run for
1000 hours.
What is the probability that the one piece of equipment will survive that 1000
hours?
Three (3) of these pieces of equipment are each run for 1000 hours.
For the 3 pieces of equipment, use the Binomial equation to calculate:
The probability of zero (0) failures.
The probability of one (1) failure.
The probability more than one (>1) failure.
2. A piece of equipment has a failure rate of 20 failures per million hours.
Use the Poisson equation to calculate:
The probability of no (0) failures in 5000 hours.
The probability of one (1) failure in 5000 hours.
The probability of two (2) failures in 5000 hours.
Transcribed Image Text:1. A piece of equipment has a failure rate of 10 failures per million hours, and is run for 1000 hours. What is the probability that the one piece of equipment will survive that 1000 hours? Three (3) of these pieces of equipment are each run for 1000 hours. For the 3 pieces of equipment, use the Binomial equation to calculate: The probability of zero (0) failures. The probability of one (1) failure. The probability more than one (>1) failure. 2. A piece of equipment has a failure rate of 20 failures per million hours. Use the Poisson equation to calculate: The probability of no (0) failures in 5000 hours. The probability of one (1) failure in 5000 hours. The probability of two (2) failures in 5000 hours.
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