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Random Draw Statistics

Tool for generating statistics from random draws to define items with output gaps and / or affinities in order to make predictions.

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Random Draw Statistics -

Tag(s) : Statistics

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Random Draw Statistics

Random Selection Statistics


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Answers to Questions (FAQ)

What is a random draw statistical value? (Definition)

During a repeated draw, the elements have an identical probability of coming out, so by repeating the draw a large number of times there will be on average a similar number of appearances for each element. The draw statistics try to bring out the elements which are not in the average, and which, when the draw is repeated a large number of times, will have more or less chance of appearing according to the mathematical predictions.

What is TOP-n or FLOP-n?

The elements drawn most often are part of the TOP-n (with n an integer, TOP-3 for the first 3, TOP-10 for 10 etc.) and the elements least drawn are part of the FLOP-n.

What is an output deviation?

The output deviation is a statistic highlighting the difference between the observed number of appearances and the expected number of appearances of an element.

Example: During a heads or tails draw (therefore with 2 possibilities), after 10 draws, heads appeared 7 times and tails 3 times, but, on average, they should have appeared 5 times. The deviation is therefore +2 for heads and -2 for tails.

What is the law of large numbers?

The law of larges is a mathematical property that equates the probability of an eventuality with the frequency of its occurrence. Thus based on a sufficiently large sample (going to infinity, hence the name of the law of large numbers), the average and the expectation converge to the same value.

In practice, it is illusory to apply this law on samples of a few tens or hundreds of draws to make predictions.

Source code

dCode retains ownership of the "Random Draw Statistics" source code. Any algorithm for the "Random Draw Statistics" algorithm, applet or snippet or script (converter, solver, encryption / decryption, encoding / decoding, ciphering / deciphering, breaker, translator), or any "Random Draw Statistics" functions (calculate, convert, solve, decrypt / encrypt, decipher / cipher, decode / encode, translate) written in any informatic language (Python, Java, PHP, C#, Javascript, Matlab, etc.) or any database download or API access for "Random Draw Statistics" or any other element are not public (except explicit open source licence like Creative Commons). Same with the download for offline use on PC, mobile, tablet, iPhone or Android app.
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Cite dCode

The content of the page "Random Draw Statistics" and its results may be freely copied and reused, including for commercial purposes, provided that dCode.fr is cited as the source. Exporting the results is free and can be done simply by clicking on the export icons ⤓ (.csv or .txt format) or ⧉ (copy and paste).
To cite dCode.fr on another website, use the link: https://www.dcode.fr/random-draw-statistics
In a scientific article or book, the recommended bibliographic citation is: Random Draw Statistics on dCode.fr [online website], retrieved on 2025-04-16, https://www.dcode.fr/random-draw-statistics

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