7. The Poisson distribution is a probability distribution that is used to model the number of occurrences of rare events in a fixed interval of time, space, or some other unit. It's particularly suitable for situations where events are rare and random, and each event is independent of the others. The distribution is named after the French mathematician Siméon Denis Poisson. Now, with the full definition of the Poisson distribution in mind, which of the following scenarios cannot be correctly modeled using the Poisson distribution? A. Count of customer arrivals at a store in a given hour. B. Number of emails received in a day. C. Number of cars passing by a toll booth in a minute. D. Number of earthquakes in a year. Number of defective items in a production line. Number of goals scored in a soccer match.
7. The Poisson distribution is a probability distribution that is used to model the number of occurrences of rare events in a fixed interval of time, space, or some other unit. It's particularly suitable for situations where events are rare and random, and each event is independent of the others. The distribution is named after the French mathematician Siméon Denis Poisson. Now, with the full definition of the Poisson distribution in mind, which of the following scenarios cannot be correctly modeled using the Poisson distribution? A. Count of customer arrivals at a store in a given hour. B. Number of emails received in a day. C. Number of cars passing by a toll booth in a minute. D. Number of earthquakes in a year. Number of defective items in a production line. Number of goals scored in a soccer match.
MATLAB: An Introduction with Applications
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![7. The Poisson distribution is a probability distribution that is used to model the number of occurrences of rare
events in a fixed interval of time, space, or some other unit. It's particularly suitable for situations where events
are rare and random, and each event is independent of the others. The distribution is named after the French
mathematician Siméon Denis Poisson. Now, with the full definition of the Poisson distribution in mind, which
of the following scenarios cannot be correctly modeled using the Poisson distribution?
A. Count of customer arrivals at a store in a given hour.
B. Number of emails received in a day.
C. Number of cars passing by a toll booth in a minute.
D. Number of earthquakes in a year.
Number of defective items in a production line.
F. Number of goals scored in a soccer match.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F832f68bd-fffc-4a3b-95a1-894aa4f4dcd8%2F71fe8be1-cfc7-4b64-9846-fdfdb7eb45fe%2Fqp44y_processed.jpeg&w=3840&q=75)
Transcribed Image Text:7. The Poisson distribution is a probability distribution that is used to model the number of occurrences of rare
events in a fixed interval of time, space, or some other unit. It's particularly suitable for situations where events
are rare and random, and each event is independent of the others. The distribution is named after the French
mathematician Siméon Denis Poisson. Now, with the full definition of the Poisson distribution in mind, which
of the following scenarios cannot be correctly modeled using the Poisson distribution?
A. Count of customer arrivals at a store in a given hour.
B. Number of emails received in a day.
C. Number of cars passing by a toll booth in a minute.
D. Number of earthquakes in a year.
Number of defective items in a production line.
F. Number of goals scored in a soccer match.
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