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2. pisg (software) - Wikipedia

   en.wikipedia.org/wiki/Pisg_(Software)

   pisg, short for Perl IRC Statistics Generator is a popular [2] open-source Internet Relay Chat (IRC) log file analysis [3] and statistical visualization program. It is written in perl [ 3 ] by Morten Brix Pedersen.

3. Random number table - Wikipedia

   en.wikipedia.org/wiki/Random_number_table

   In the 1950s, a hardware random number generator named ERNIE was used to draw British premium bond numbers. The first "testing" of random numbers for statistical randomness was developed by M.G. Kendall and B. Babington Smith in the late 1930s, and was based upon looking for certain types of probabilistic expectations in a given sequence. The ...

4. Applications of randomness - Wikipedia

   en.wikipedia.org/wiki/Applications_of_randomness

   Randomness has many uses in science, art, statistics, cryptography, gaming, gambling, and other fields. For example, random assignment in randomized controlled trials helps scientists to test hypotheses, and random numbers or pseudorandom numbers help video games such as video poker.

5. Randomness test - Wikipedia

   en.wikipedia.org/wiki/Randomness_test

   A randomness test (or test for randomness), in data evaluation, is a test used to analyze the distribution of a set of data to see whether it can be described as random (patternless).

6. Random.org - Wikipedia

   en.wikipedia.org/wiki/Random.org

   Random.org (stylized as RANDOM.ORG) is a website that produces random numbers based on atmospheric noise. [1] In addition to generating random numbers in a specified range and subject to a specified probability distribution, which is the most commonly done activity on the site, it has free tools to simulate events such as flipping coins, shuffling cards, and rolling dice.

7. Data generating process - Wikipedia

   en.wikipedia.org/wiki/Data_generating_process

   In statistics and in empirical sciences, a data generating process is a process in the real world that "generates" the data one is interested in. [1] This process encompasses the underlying mechanisms, factors, and randomness that contribute to the production of observed data.