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https://statistical.fandom.com/wiki/Support_(Probability_distribution)
May 31, 2012 · The support of a probability distribution can be loosely though of as the closure of the set of possible values of a random variables having that distribution. By definition support does not contain values that map to a probability of zero.
https://math.stackexchange.com/questions/2817111/what-does-it-mean-that-a-probability-distribution-has-full-support
I am confused on what is commonly intended by "full support". Does the author want to say that the support is $\mathbb{R}$? (which, together with absolute continuity, would then imply that the cumulative distribution function is strictly positive - and, hence, strictly monotone increasing - on $\mathbb{R}$)
https://seeing-theory.brown.edu/probability-distributions/index.html
The uniform distribution is a continuous distribution such that all intervals of equal length on the distribution's support have equal probability. For example, this distribution might be used to model people's full birth dates, where it is assumed that all times in the calendar year are equally likely.
http://www.probability-distribution.appspot.com/
The author, Samuel Chukwuemeka aka Samdom For Peace gives credit to Our Lord, Jesus Christ. We are experts in probability distribution calculators.
https://en.wikipedia.org/wiki/Probability_distribution
A continuous probability distribution is a probability distribution with a cumulative distribution function that is absolutely continuous. Equivalently, it is a probability distribution on the real numbers that is absolutely continuous with respect to Lebesgue measure. Such distributions can be represented by their probability density functions.
https://www.investopedia.com/terms/p/probabilitydistribution.asp
Probability distributions can also be used to create cumulative distribution functions (CDFs), which adds up the probability of occurrences cumulatively and will always start at zero and end at 100%.
https://www.thoughtco.com/probability-distribution-3126569
A probability distribution is a function or rule that assigns probabilities to each value of a random variable. The distribution may in some cases be listed. In other cases, it is presented as a graph. Example . Suppose that we roll two dice and then record the …
https://stattrek.com/probability-distributions/probability-distribution.aspx
A probability distribution is a table or an equation that links each outcome of a statistical experiment with its probability of occurrence. Consider the coin flip experiment described above. The table below, which associates each outcome with its probability, is an example of a probability distribution.
https://en.wikipedia.org/wiki/List_of_probability_distributions
With finite support. The Bernoulli distribution, which takes value 1 with probability p and value 0 with probability q = 1 − p.; The Rademacher distribution, which takes value 1 with probability 1/2 and value −1 with probability 1/2.; The binomial distribution, which describes the number of successes in a series of independent Yes/No experiments all with the same probability of success.
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