It is suspected that the number of injuries per factory follows a Poisson distribution with mean of 0,71. Using the 5% level of significance, test if the Poisson distribution suspected, is of good fit to the data.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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j) The data in the table below represents the number of small factories in
northern England in which industrial injuries resulted in claims for
compensation within a certain period.
Number of Number of
Claims
factories
reporting
number
of
claims
144
1
91
2
32
10
4
2
5 and above
It is suspected that the number of injuries per factory follows a Poisson
distribution with mean of 0,71. Using the 5% level of significance, test if
the Poisson distribution suspected, is of good fit to the data.
Transcribed Image Text:j) The data in the table below represents the number of small factories in northern England in which industrial injuries resulted in claims for compensation within a certain period. Number of Number of Claims factories reporting number of claims 144 1 91 2 32 10 4 2 5 and above It is suspected that the number of injuries per factory follows a Poisson distribution with mean of 0,71. Using the 5% level of significance, test if the Poisson distribution suspected, is of good fit to the data.
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