Assume that the life of a roller bearing follows a Weibull distribution with parameters β = 2 and δ = 10,000 hours. a. Determine the probability that a bearing lasts at least 8000 hours. b. Determine the mean time until failure of a bearing. c. If 10 bearings are in use and failures occur independently, what is the probability that all 10 bearings last at least 8000 hours?
Assume that the life of a roller bearing follows a Weibull distribution with parameters β = 2 and δ = 10,000 hours. a. Determine the probability that a bearing lasts at least 8000 hours. b. Determine the mean time until failure of a bearing. c. If 10 bearings are in use and failures occur independently, what is the probability that all 10 bearings last at least 8000 hours?
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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Assume that the life of a roller bearing follows a Weibull distribution with parameters β = 2 and δ = 10,000 hours.
a. Determine the probability that a bearing lasts at least 8000 hours.
b. Determine the mean time until failure of a bearing.
c. If 10 bearings are in use and failures occur independently, what is the probability that all 10 bearings last at least 8000 hours?
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