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...

Software testing is the act of checking whether software satisfies expectations. Software testing can provide objective, independent information about...

Random testing is a black-box software testing technique where programs are tested by generating random, independent inputs. Results of the output are...

the test is conservative, when one or both margins are random variables themselves With large samples, a chi-squared test (or better yet, a G-test) can...

In software testing, monkey testing is a technique where the user tests the application or system by providing random inputs and checking the behavior...

(univariate) normal distribution to higher dimensions. One definition is that a random vector is said to be k-variate normally distributed if every linear combination...

A random glucose test, also known as a random blood glucose test (RBG test) or a casual blood glucose test (CBG test) is a glucose test (test of blood...

Permutation tests (also re-randomization tests) for generating counterfactual samples Bootstrapping Cross validation Jackknife Permutation tests rely on resampling...

In common usage, randomness is the apparent or actual lack of definite pattern or predictability in information. A random sequence of events, symbols or...

development, fuzzing or fuzz testing is an automated software testing technique that involves providing invalid, unexpected, or random data as inputs to a computer...

A/B testing (also known as bucket testing, split-run testing or split testing) is a user-experience research method. A/B tests consist of a randomized experiment...

Directed Automated Random Testing" by Patrice Godefroid, Nils Klarlund, and Koushik Sen. The paper "CUTE: A concolic unit testing engine for C", by Koushik...

hard to use statistical tests to validate the generated random numbers. Wang and Nicol proposed a distance-based statistical testing technique that is used...

hypothesis testing, the partitioning of sums of squares, experimental techniques and the additive model. Laplace was performing hypothesis testing in the...

appear "random" under testing have later been discovered to be very non-random when subjected to certain types of tests. The notion of quasi-random numbers...

hypothesis is true. Test statistics that follow a χ2 distribution occur when the observations are independent. There are also χ2 tests for testing the null hypothesis...

for simulations, model testing, and secure data encryption. Data Stream Transformation: In telecommunications, randomization is used to transform data...

A random permutation is a sequence where any order of its items is equally likely at random, that is, it is a permutation-valued random variable of a...

multiple samples, are significantly different. The test calculates a statistic, represented by the random variable F, and checks if it follows an F-distribution...

A permutation test (also called re-randomization test or shuffle test) is an exact statistical hypothesis test. A permutation test involves two or more...

Multiple comparisons, multiplicity or multiple testing problem occurs in statistics when one considers a set of statistical inferences simultaneously...

substance by test type. Urine analysis is primarily used because of its low cost. Urine drug testing is one of the most common testing methods used....

hardware random number generator (HRNG), true random number generator (TRNG), non-deterministic random bit generator (NRBG), or physical random number generator...

hypothesis tests about discrete probability distributions. A statistical test making use of a randomized decision rule is called a randomized test. Let D...

MLB markedly increased testing and punishments. Now baseball tests unannounced twice a year for all players and random testing still occurs for selected...

A random variable (also called random quantity, aleatory variable, or stochastic variable) is a mathematical formalization of a quantity or object which...

a list of notable test automation frameworks commonly used for unit testing. Such frameworks are not limited to unit-level testing; can be used for integration...

randomly selected values X and Y from two populations have the same distribution. Nonparametric tests used on two dependent samples are the sign test...

stationary process where the sample space is also discrete (so that the random variable may take one of N possible values) is a Bernoulli scheme. Other...

overall. In the NCAA, players are subject to random testing with 48 hours notice, and are also randomly tested throughout the annual bowl games. The NCAA...