Discrete random variable

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Related to Discrete probability distribution: binomial distribution

Discrete random variable

A random variable that can take only a certain specified set of individual possible values-for example, the positive integers 1, 2, 3, . . . For example, stock prices are discrete random variables, because they can only take on certain values, such as \$10.00, \$10.01 and \$10.02 and not \$10.005, since stocks have a minimum tick size of \$0.01. By way of contrast, stock returns are continuous not discrete random variables, since a stock's return could be any number.

Discrete Random Variable

A variable that can take only one of several definite values. For example, one's FICO score is a discrete random variable because it can only be a positive integer between 300 and 850.
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Dealing with random combinatorial structures needs to estimate the deviation of two discrete probability distributions in terms of the maximal distance between their generating functions over [0, 1].
The formulations of discrete probability distributions of genuine and impostor scores, as well as ROC curve are presented in Sec.
i], we assume there exists a discrete probability distribution that is defined over a parameter space [[].
Their chapters cover descriptive statistics, probability, discrete probability distributions, continuous probability distributions, sampling and sampling distributions, interval estimation, hypothesis tests, comparisons involving means, comparisons involving proportions and a test of independence, simple linear regression, and multiple regression.
In over 100 exercises, supported by the accompanying CD-ROM, she describes probability concepts, discrete probability distributions, continuous probability distributions, mathematical expectation, limit theorems, transitions to statistics, estimating theory, hypothesis testing theory, order statistics and quantiles, permutation analysis, bootstrap analysis, multiple sample analysis, linear least squares analysis and contingency truth analysis.
One way to graph discrete probability distributions is a histogram, a plot of the frequencies of outcomes in a set of defined categories.
The author has organized the twenty chapters that make up the main body of his text in four parts devoted to an introduction to environmental risk analysis, discrete probability distributions, continuous probability distributions, and applications.

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