Ten-fold differences have been reported in Covid-19 death rates. Estimate issues are because of how the data is calculated. Why the same data can yield… Read More »Gross Underestimates and Overestimates from the Same Data: Covid-19 Death Rates Example
Data analysis is fraught with pitfalls, including too-small sample sizes. Bias can creep into the most well-intentioned of studies, Tips to avoid bias and choose… Read More »Common Statistical Errors
Graphs are a great tool to appeal to a wide audience, They are often used to deliberately mislead, not inform, A few creative ways graphs… Read More »The Worst Covid-19 Misleading Graphs
Data Points There are a number of different terms used for probability in statistics. Each has a distinct (and usually precise) meaning. This article examines… Read More »Odds vs Probability vs Chance
While there are several dozen different types of possible variables, all can be categorized into a few basic areas. This simple graphic shows you how… Read More »Types of Variables in Data Science in One Picture
Knowledge of the basic rules of probability is a must-have for any data scientist. But if you’re a visual learner like me, learning the algebraic representations… Read More »5 Rules of Probability in One Picture (Cat and Dog Edition)
P-values and critical values are so similar that they are often confused. They both do the same thing: enable you to support or reject the… Read More »P Value vs Critical Value
If you scour the internet for “ANOVA vs Regression”, you might be confused by the results. Are they the same? Or aren’t they? The answer… Read More »ANOVA vs Regression in One Picture
The following graphic is based on Sam Priddy’s excellent DSC/Tableau Webinar How to Accelerate and Scale Your Data Science Workflows. Sam covered many interesting points for… Read More »How to Communicate Data
Math and statistics are vital components of any data scientist’s tool box. While some view statistics as a type of math, the reality is that… Read More »Math vs. Statistics in One Picture
