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https://www.statlect.com/glossary/support-of-a-random-variable
Example If a discrete random variable has probability mass function its support, denoted by , is Support of a continuous variable For continuous random variables , it is the set of all numbers whose probability density is strictly positive.
https://support.minitab.com/en-us/minitab/18/help-and-how-to/probability-distributions-and-random-data/how-to/probability-distributions/methods-and-formulas/methods-and-formulas/
For continuous distributions, the CDF gives the area under the probability density function, up to the x-value that you specify. For discrete distributions, the CDF gives the cumulative probability for x-values that you specify.
https://support.minitab.com/en-us/minitab-express/1/help-and-how-to/basic-statistics/probability-distributions/how-to/probability-density-function-pdf/methods-and-formulas/methods-and-formulas/
The probability density function (PDF) of a random variable, X, allows you to calculate the probability of an event, as follows: For continuous distributions, the probability that X has values in an interval (a, b) is precisely the area under its PDF in the interval (a, b).
https://math.stackexchange.com/questions/846011/precise-definition-of-the-support-of-a-random-variable
Random Variables – A random variable is a real valued function defined on the sample space of an experiment. Associated with each random variable is a probability density function (pdf) for the random variable. The sample space is also called the support of a random variable.
https://onlinecourses.science.psu.edu/stat414/node/97/
A continuous random variable takes on an uncountably infinite number of possible values. For a discrete random variable X that takes on a finite or countably infinite number of possible values, we determined P(X = x) for all of the possible values of X, and called it the probability mass function ("p.m.f.").
https://www.quora.com/What-is-support-of-a-probability
A distribution like the normal distribution has support of the entire real line— any number is possible, although the probabilities get very small when you get far away from the mean. A distribution like the exponential distribution only has support over the positive reals, while the Poisson distribution has support over the nonnegative integers.
https://support.office.com/en-us/article/BINOM-DIST-function-C5AE37B6-F39C-4BE2-94C2-509A1480770C
The BINOM.DIST function syntax has the following arguments: Number_s Required. The number of successes in trials. Trials Required. The number of independent trials. Probability_s Required. The probability of success on each trial. Cumulative Required. A …
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