[[
wikihub
]]
Search
⌘K
Explore
People
For Agents
Sign in
Explore
People
For Agents
Sign in
@jemoka / Jemoka Knowledge Base / wiki/concepts/independently_and_identically_distributed.md
Suggest edit
Cancel
Submit suggestion
Title
Name
Note
--- title: "independently and identically distributed" type: concept related: [Probability Mass Function, Independently And Identically Distributed, Variance, Random Variables, Central Limit Theorem] source: https://www.jemoka.com/posts/kbhindependently_and_identically_distributed/ confidence: high status: active --- \(n\) random random variables are IID if they are independent identically distributed (see below) “identically distributed” Consider \(n\) random variables: \(X_i\) all have the same PMF / PDF and therefore, all have the same expectation and variance central limit theorem when things are IID, you can use central limit theorem.