Probability Distributions in Python

In the R programming language, we can use the runif() function to generate a vector of random values that follow a uniform…

In the R programming language, we can use the rnorm() function to generate a vector of random values that follow a normal…

You can use the lognorm() function from the SciPy library in Python to generate a random variable that follows a log-normal distribution.…

The exponential distribution is a probability distribution that is used to model the time we must wait until a certain event occurs.…

A cumulative distribution function (CDF) tells us the probability that a random variable takes on a value less than or equal to…

A uniform distribution is a probability distribution in which every value between an interval from a to b is equally likely to be chosen. The probability that we…

The multinomial distribution describes the probability of obtaining a specific number of counts for k different outcomes, when each outcome has a…

In statistics, the Gamma distribution is often used to model probabilities related to waiting times. The following examples show how to use…

The t distribution is a probability distribution that is similar to the normal distribution except it has heavier “tails” than the normal…

The Poisson distribution describes the probability of obtaining k successes during a given time interval. If a random variable X follows a…