Probability Distributions in Python
Probability Distributions in Python
How to Use the Exponential Distribution in Python
The exponential distribution is a probability distribution that is used to model the time we must wait until a certain event occurs.
If a random...
Probability Distributions in Python
How to Calculate & Plot the Normal CDF in Python
A cumulative distribution function (CDF) tells us the probability that a random variable takes on a value less than or equal to some value.
This...
Probability Distributions in Python
How to Use the Uniform Distribution in Python
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 will obtain a...
Probability Distributions in Python
How to Use the Multinomial Distribution in Python
The multinomial distribution describes the probability of obtaining a specific number of counts for k different outcomes, when each outcome has a fixed probability...
Probability Distributions in Python
How to Plot a Gamma Distribution in Python (With Examples)
In statistics, the Gamma distribution is often used to model probabilities related to waiting times.
The following examples show how to use the scipy.stats.gamma() function...
Probability Distributions in Python
How to Use the t Distribution in Python
The t distribution is a probability distribution that is similar to the normal distribution except it has heavier “tails” than the normal distribution.
That is,...
Probability Distributions in Python
How to Use the Poisson Distribution in Python
The Poisson distribution describes the probability of obtaining k successes during a given time interval.
If a random variable X follows a Poisson distribution, then...
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