Download as PDF, PPTX
Uploaded byHadley Wickham
PDF, PPTX6,771 views
Introduction to random variables
This document provides an introduction to random variables. It defines random variables as functions that assign real numbers to outcomes of an experiment. Random variables can be either discrete or continuous depending on whether their possible values are countable or uncountable. The document also defines probability mass functions (pmf) which describe the probabilities of discrete random variables taking on particular values. Expectation is introduced as a way to summarize random variables using a single number by taking a weighted average of all possible outcomes.
More Related Content
What's hot
Viewers also liked
Similar to Introduction to random variables
More from Hadley Wickham
In this document
Powered by AI
Introduction to Stat310 with feedback topics including class attendance, note-taking, and reading.
Recap of key probability concepts like total probability, multiplication rule, and Bayes rule.
Definition and importance of random variables, their types (discrete vs continuous), and examples demonstrating their applications.
Introduction to Probability Mass Function (pmf), its properties, and how it simplifies understanding random variables.
Concept of Expectation, relevant mathematical properties, and how it serves as a linear operator.