A manager at a company that manufactures cell phones has noticed that the number of faulty cell phones in a production run of cell phones is usually small and that the quality of one day's run seems bearing on the next day. a) What model might you use to model the number of faulty cell phones produced in one day? b) If the mean number of faulty cell phones is 1.3 per day, what is the probability that no faulty cell phones will be produced tomorrow? c) If the mean number of faulty cell phones is 1.3 per day, what is the probability that 3 or more faulty cell phones were produced in today's run? have no a) Which model might you use? Uniform O Poisson O Binomial Geometric b) The probability that no faulty cell phones will be produced tomorrow is- (Round to four decimal places as needed.) c) The probability that 3 or more faulty cell phones were produced in today's run is. (Round to four decimal places as needed.)
A manager at a company that manufactures cell phones has noticed that the number of faulty cell phones in a production run of cell phones is usually small and that the quality of one day's run seems bearing on the next day. a) What model might you use to model the number of faulty cell phones produced in one day? b) If the mean number of faulty cell phones is 1.3 per day, what is the probability that no faulty cell phones will be produced tomorrow? c) If the mean number of faulty cell phones is 1.3 per day, what is the probability that 3 or more faulty cell phones were produced in today's run? have no a) Which model might you use? Uniform O Poisson O Binomial Geometric b) The probability that no faulty cell phones will be produced tomorrow is- (Round to four decimal places as needed.) c) The probability that 3 or more faulty cell phones were produced in today's run is. (Round to four decimal places as needed.)
Chapter8: Sequences, Series,and Probability
Section8.7: Probability
Problem 11ECP: A manufacturer has determined that a machine averages one faulty unit for every 500 it produces....
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Transcribed Image Text:A manager at a company that manufactures cell phones has noticed that the number of faulty cell phones in a production run of cell phones is usually small and that the quality of one day's run seems to have no
bearing on the next day.
a) What model might you use to model the number of faulty cell phones produced in one day?
b) If the mean number of faulty cell phones is 1.3 per day, what is the probability that no faulty cell phones will be produced tomorrow?
c) If the mean number of faulty cell phones is 1.3 per day, what is the probability that 3 or more faulty cell phones were produced in today's run?
a) Which model might you use?
Uniform
Poisson
Binomial
Geometric
b) The probability that no faulty cell phones will be produced tomorrow is
(Round
four decimal places as needed.)
c) The probability that 3 or more faulty cell phones were produced in today's run is.
(Round
four decimal places as needed.)
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