ANOVA
Friedman Test: Definition, Formula, and Example
The Friedman Test is a non-parametric alternative to the Repeated Measures ANOVA.
It is used to determine whether or not there is a statistically significant difference between the means...
Random Variables
An Introduction to the Multinomial Distribution
The multinomial distribution describes the probability of obtaining a specific number of counts for k different outcomes, when each outcome has a fixed probability...
Random Variables
An Introduction to the Negative Binomial Distribution
The negative binomial distribution describes the probability of experiencing a certain amount of failures before experiencing a certain amount of successes in a series of Bernoulli...
Random Variables
An Introduction to the Hypergeometric Distribution
The hypergeometric distribution describes the probability of choosing k objects with a certain feature in n draws without replacement, from a finite population of size N that contains K objects with...
Random Variables
An Introduction to the Geometric Distribution
The geometric distribution describes the probability of experiencing a certain amount of failures before experiencing the first success in a series of Bernoulli trials.
A Bernoulli trial...
Random Variables
An Introduction to the Poisson Distribution
The Poisson distribution is one of the most popular distributions in statistics.
To understand the Poisson distribution, it helps to first understand Poisson experiments.
Poisson Experiments
A...
Chi-Square Tests
Chi-Square Test of Independence: Definition, Formula, and Example
A Chi-Square Test of Independence is used to determine whether or not there is a significant association between two categorical variables.
This tutorial explains the following:
The motivation...
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