Materials
This is a list of course materials. I will post new files and website links as we progress through the course. There is a list of recent files on the homepage which will update so you can easily see if what new links I've posted.
An Intuitive Explanation of Bayes' Theorem
Arthur Benjamin: Teach statistics before calculus!
Bad Science — A good site for learning statistics through practical examples.
Causation — Correlation is not Causation
Devs Love Bacon: Everything you need to know about Machine Learning in 30 minutes or less — Bayes rule
For Today’s Graduate, Just One Word: Statistics
Hans Rosling: Religions and babies — A nice video about data analysis.
Help Room Schedule — @C100 Wells Hall
Higgs: is it one-sided or two-sided? — p-value explanation
How to do stuff in R. two minutes or less. — Videos about R
Hypothesis tests, p-value - Statistics Help
Inferential Statistics: A Different Approach
Inferential statistics and other animals — the difference between descriptive stats and inferential stats
Information is Beautiful — Visualizing Data.
Introduction to Minitab — Software
Modes, Medians and Means: A Unifying Perspective
Monty Hall Simulations — a good reference for Project 2
Quick-R — accessing the power of R
Sampling Error Isn’t — A good explanation of sampling variation
Significance — how to interpret the significance of hypothesis testing
Significance — a good post about statistical significance and p-value
Statistics Done Wrong — p value and statistical significance
statistics for corpus linguists
Statistics project ideas for students — Project
Teach Data Science — a good book on data science with R
The Data and Story Library — data from a wide variety of topics so that statistics teachers can find real-world examples that will be interesting to their students.
The Higgs boson: 5-sigma and the concept of p-values — p-value
The Monty Hall Problem — a fantastic explanation of the Monty Hall Problem
Uncertainty, luck and control — a good post about the probability
Understanding Uncertainty — The site tries to make sense of chance, risk, luck, uncertainty and probability.
Variation - Why statistical methods are needed
Visualizing Bayes’ theorem — blog post
Wainer’s website for his intro stat course
What is data science? — an article