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What (who) is table distribution - definition

MATHEMATICAL TABLE FOR THE VALUES OF Φ, WHICH ARE THE VALUES OF THE CUMULATIVE DISTRIBUTION FUNCTION OF THE NORMAL DISTRIBUTION

Normal table; Z table; Z-score table; Standard distribution table

Noncentral t-distribution

PROBABILITY DISTRIBUTION

Non–central t–distribution; Non-central t-distribution

The noncentral t-distribution generalizes Student's t-distribution using a noncentrality parameter. Whereas the central probability distribution describes how a test statistic t is distributed when the difference tested is null, the noncentral distribution describes how t is distributed when the null is false.

https://en.wikipedia.org/wiki/Noncentral_t-distribution

Distribution (marketing)

MAKING PRODUCTS AVAILABLE TO CUSTOMERS

Distribution (business); Distribution company; Distribution Channels; Distribution channel; Channel captain; Channel (marketing); Channel partners; Distributor (business); Authorized distribution; Product distributor; Multi Channel Distribution; Distribution channels; Distribution chain

Distribution (or place) is one of the four elements of the marketing mix. Distribution is the process of making a product or service available for the consumer or business user who needs it.

https://en.wikipedia.org/wiki/Distribution_(marketing)

Rice distribution

PROBABILITY DISTRIBUTION OF THE MAGNITUDE OF A CIRCULAR BIVARIATE NORMAL RANDOM VARIABLE

Rician distribution; Ricean distribution

In probability theory, the Rice distribution or Rician distribution (or, less commonly, Ricean distribution) is the probability distribution of the magnitude of a circularly-symmetric bivariate normal random variable, possibly with non-zero mean (noncentral). It was named after Stephen O.

https://en.wikipedia.org/wiki/Rice_distribution

Wikipedia

Standard normal table

In statistics, a standard normal table, also called the unit normal table or Z table, is a mathematical table for the values of Φ, the cumulative distribution function of the normal distribution. It is used to find the probability that a statistic is observed below, above, or between values on the standard normal distribution, and by extension, any normal distribution. Since probability tables cannot be printed for every normal distribution, as there are an infinite variety of normal distributions, it is common practice to convert a normal to a standard normal (known as a z-score) and then use the standard normal table to find probabilities.

https://en.wikipedia.org/wiki/Standard normal table