How Are Moments Used in Statistics?
In this video I explain how moments are used in statistics in order to describe the characteristics of a distribution. The first four moments help to tell us about the mean, variance, skew, and kurtosis of a distribution and allow us to make comparison between distributions. I define raw or crude moments and how changing reference points can provide centralized and standardized moments to describe the shape of a distribution.
▶︎
What is a Probability Density Function?
▶︎
What are "moments" in statistics? An intuitive video!
▶︎
Intro to Hypothesis Testing in Statistics - Hypothesis Testing Statistics Problems & Examples
▶︎
Skewness and Kurtosis : the two summary stats they never taught you
▶︎
Moments of Distributions
▶︎
The Normal Distribution & The Bell Curve Explained (Statistics 101)
▶︎
What is Kurtosis?
▶︎
What are Moments in Statistics? Why are they called Moments?
▶︎
Hypothesis Testing EXPLAINED
▶︎
Learn Statistical Regression in 40 mins! My best video ever. Legit.
▶︎
What is skewness? A detailed explanation (with moments!)
▶︎
Covariance Explained ← Probability & Statistics
▶︎
Maximum Likelihood Estimation (MLE) with Examples
▶︎
p-values: What they are and how to interpret them
▶︎
The Method of Moments ... Made Easy!
▶︎
Hypothesis testing (ALL YOU NEED TO KNOW!)
▶︎
Why do we divide by n-1 and not n? | shown with a simple example | variance and sd
▶︎
If You Have A Bad Memory, I’ll Help You Fix It In 28 Minutes
![Descriptive Statistics [Simply explained]](https://i.ytimg.com/vi/FzujIYo9GYo/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLCsrMXn294XpFKZmLGSByt3A5PjGQ)
▶︎
Descriptive Statistics [Simply explained]
▶︎