(c) The problem of illegal parking in front of a busy shopping center has been monitored by the building management. The frequency distribution of the number of violation tickets issued per day (from Monday to Friday during business hour) is as follows. Determine whether the Poisson distribution provides a good fit to the data at a confident level of 95% or not. Number of violation tickets Number of days 1 11 19 3 23 4 14 5 10 4
(c) The problem of illegal parking in front of a busy shopping center has been monitored by the building management. The frequency distribution of the number of violation tickets issued per day (from Monday to Friday during business hour) is as follows. Determine whether the Poisson distribution provides a good fit to the data at a confident level of 95% or not. Number of violation tickets Number of days 1 11 19 3 23 4 14 5 10 4
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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Question
![(c) The problem of illegal parking in front of a busy shopping center has been monitored by
the building management. The frequency distribution of the number of violation tickets issued
per day (from Monday to Friday during business hour) is as follows. Determine whether the
Poisson distribution provides a good fit to the data at a confident level of 95% or not.
Number of violation tickets
Number of days
1
1
11
2
19
3
23
4
14
5
10
6.
4
7
2
>=8](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F022e9406-51c7-4ae6-a409-8a4dd3b6cd77%2Fd52f46c0-4ad1-4852-a870-901824858e61%2Fuvv1ks_processed.png&w=3840&q=75)
Transcribed Image Text:(c) The problem of illegal parking in front of a busy shopping center has been monitored by
the building management. The frequency distribution of the number of violation tickets issued
per day (from Monday to Friday during business hour) is as follows. Determine whether the
Poisson distribution provides a good fit to the data at a confident level of 95% or not.
Number of violation tickets
Number of days
1
1
11
2
19
3
23
4
14
5
10
6.
4
7
2
>=8
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