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Application of the Poisson distribution given expected number of events per interval.
Finding probabilities using the Poisson distribution.
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England schools
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England university
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Scotland schools
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said | Ready to use | 8 years, 11 months ago |
History
Julie Crowley 8 years, 7 months ago
Published this.Julie Crowley 8 years, 11 months ago
Gave some feedback: Ready to use
Julie Crowley 9 years, 2 months ago
Created this as a copy of BS3.2 Poisson (sales).Name | Status | Author | Last Modified | |
---|---|---|---|---|
BS3.2 | draft | Bill Foster | 06/08/2020 08:42 | |
Poisson (sales) | Ready to use | Julie Crowley | 21/03/2024 12:43 | |
Alex's copy of Poisson (sales) | draft | Alex Van den Hof | 31/03/2017 11:40 | |
Brad's copy of Poisson (sales) | draft | Brad Allison | 13/06/2019 12:48 |
There are 13 other versions that do you not have access to.
Name | Type | Generated Value |
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pre | string |
The mean number of sales per d
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what | string |
daily sales.
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this | string |
a randomly selected employee m
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things | string |
sales.
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number1 | integer |
2
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descx | string |
the number of sales per day
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else | string |
per day.
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thismany | integer |
5
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something | string |
Employees receive a warning if
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tol | number |
0.001
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v | integer |
0
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||||
tprob1 | number |
0.1754673698
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sd | number |
2.236
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||||
tprob2 | number |
0.040427682
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||||
prob2 | number |
0.040
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||||
thisnumber | integer |
4
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||||
thisaswell | string |
a randomly selected employee r
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prob1 | number |
0.175
|
Generated value: string
The mean number of sales per day at a telecommunications centre is
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