Compute the cumulative distribution function (CDF) for the continuous uniform distribution, given the upper and lower limits of the distribution and the point at which to evaluate the function. The continuous uniform distribution is very useful in analytics studies involving events or outcomes that are equally probable for all intervals of the same length, such as random number generation.
Compute the probability associated with a specified interval under the continuous uniform distribution, given the upper and lower limits of the distribution, and the upper and lower limits of the probability interval. Knowing the probability associated with a particular range of values under a continuous uniform distribution is often very useful in analytics studies that involve uniformly distributed data.
Compute the probability density function (PDF) for the continuous uniform distribution, given the point at which to evaluate the function and the upper and lower limits of the distribution. The continuous uniform distribution PDF identifies the relative likelihood that an associated random variable will have a particular value, and is very useful for analytics studies that rely on continuous uniform probabilities.