# Distribution evaluation problem - Updated

#### Julia_IA

##### New Member

Imagine there is a continuous distribution D, and we need to evaluate its parameters (most probably it's left-skewed). What we know is that the range of random variable = [0,n].
We can take a sample A of limited size m, which obeys distribution D, and repeat the next procedure: for each element Ai from A you can choose a number Bi, and know, if Ai is larger then Bi or not. Looks like this:

for example n = 1000, m = 100

1. A1 = 156, but we don't know this
I chose B1 to be 500.
Output: A1<500

2. A2 = 678
I choose B2 to be 235
Output: A2>235

...

100. A100 = 823
I choose B100 to be 647
Output: A100>647

I need to come up with an algorithm of evaluating distribution D

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#### Dason

I'll be honest. I don't think you did a good job describing your problem in a way that others can follow. Can you give it another go?

Also are you sure you meant left skewed? Right skewed for what you were describing would make much more sense to me...

#### Julia_IA

##### New Member
Thank you for the comment, I updated the problem description, hope it's better now

#### Dason

Do you know anything else about the distribution? Maybe some functional form for probability mass function? Is n known?