Discrete Uniform Distribution. In this section, you will investigate distributions that begin with individual outcomes that are equally likely and expand into more general settings. Theorem 6.2.1. Discrete Uniform Distribution. Assume outcomes in R = {1, 2, 3, ..., n} are equally likely.
Share, comment, bookmark or report
The discrete uniform distribution (not to be confused with the continuous uniform distribution) is where the probability of equally spaced possible values is equal. Mathematically this means that the probability density function is identical for a finite set of evenly spaced points.
Share, comment, bookmark or report
An element \(X\) is chosen at random from a finite set \(S\). The distribution of \(X\) is the discrete uniform distribution on \(S\). \(X\) has probability density function \(f\) given by \(f(x) = 1 \big/ \#(S)\) for \(x \in S\). \(\P(X \in A) = \#(A) \big/ \#(S)\) for \(A \subseteq S\). Proof
Share, comment, bookmark or report
What is a discrete uniform distribution? A discrete uniform distribution is a discrete probability distribution. The discrete random variable X follows a discrete uniform distribution if. There are a finite number of distinct outcomes (n) Each outcome is equally likely. If there are n distinct outcomes,
Share, comment, bookmark or report
The discrete uniform distribution is often used to generate random numbers from any discrete or continuous probability distribution. EXAMPLES. Consider the random variable X, the score obtained by throwing a die. If the die is not loaded, the probability of obtaining any particular score is equal to \ ( { \frac {1} {6} } \).Therefore, we have:
Share, comment, bookmark or report
A discrete uniform distribution is one that has a finite (or countably finite) number of random variables that have an equally likely chance of occurring. Examples of experiments that result in discrete uniform distributions are the rolling of a die or the selection of a card from a standard deck.
Share, comment, bookmark or report
The discrete uniform distribution is also known as the"equally likely outcomes" distribution. Letting a set have elements, each of them having the same probability, then.
Share, comment, bookmark or report
In short, you use the discrete uniform distribution when you have n possible outcomes that are equally likely to occur. That is, when the sample space you’re interested in consists of exactly n elements, each of which occupy an equal share of the whole space.
Share, comment, bookmark or report
The discrete uniform distribution is a special case of the general uniform distribution with respect to a measure, in this case counting measure. The distribution corresponds to picking an element of \( S \) at random. Most classical, combinatorial probability models are based on underlying discrete uniform distributions.
Share, comment, bookmark or report
Comments