Uploaded December 2012 | Updated September 2026, 2 hours ago
An introduction to the multinomial distribution, a common discrete probability distribution. I discuss the basics of the multinomial distribution and work through two examples of probability calculations. For comparison purposes, I finish off with a quick example of a multivariate hypergeometric probability calculation.
An introduction to the multinomial distribution, a common discrete probability distribution. I discuss the basics of the multinomial distribution and work through two examples of probability calculations. For comparison purposes, I finish off with a quick example of a multivariate hypergeometric probability calculation.

![An Introduction to Hypothesis Testing
A first look at hypothesis testing.
For those that use R, below is the R code to find the binomial probability given in this video.
To find the probability that X takes on a value that is at least 28, where X has a binomial distribution with parameters n = 100 and p = 1/4:
1-pbinom(27,100,1/4)
[1] 0.2776195
To find the probability that X takes on a value that is at least 44, where X has a binomial distribution with parameters n = 100 and p = 1/4:
1-pbinom(43,100,1/4)
[1] 2.700295e-05 An Introduction to Hypothesis Testing](https://i.ytimg.com/vi/tTeMYuS87oU/mqdefault.jpg)








