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[[File:Barrie prob.jpg|border|600 px]]
 
[[File:Barrie prob.jpg|border|600 px]]
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But the patterns aren't very easy to understand like this. The cumulative distribution function uses the same λ and is often a more useful way to understand the data.  
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But the frequencies of the different rainstorms aren't very easy to understand like this.  
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The cumulative distribution function uses the same λ and is a more useful way to read the data.  
    
<math>F\left(x,\lambda\right)=1- e^{-\lambda x}</math>
 
<math>F\left(x,\lambda\right)=1- e^{-\lambda x}</math>
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The 90th percentile event is the rainstorm for which 90% of all rainstorms are this depth or less. In this example, using a very limited data set it was found to be 20 mm.
 
The 90th percentile event is the rainstorm for which 90% of all rainstorms are this depth or less. In this example, using a very limited data set it was found to be 20 mm.
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i.e. 90% of all storms ≤ 20 mm.
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Storms of ≤ 5 mm represent 40% of the total in this example.
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==See also==
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[[Drainage time]]
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