Stephanie Glen

There are dozens of different hypothesis tests, so choosing one can be a little overwhelming. The good news is that one of the more popular… Read More »Hypothesis Tests in One Picture

A myriad of options exist for classification. In general, there isn’t a single “best” option for every situation. That said, three popular classification methods— Decision… Read More »Comparing Classifiers: Decision Trees, K-NN & Naive Bayes

If any of the main assumptions of linear regression are violated, any results or forecasts that you glean from your data will be extremely biased, inefficient… Read More »Assumptions of Linear Regression in One Picture

Statistics, Statistical Learning, and Machine Learning are three different areas with a large amount of overlap. Despite that overlap, they are distinct fields in their… Read More »Machine Learning vs Statistics vs Statistical Learning in One Picture

The lifecycle of data travels through six phases: The lifecycle “wheel” isn’t set in stone. While it’s common to move through the phases in order,… Read More »The Lifecycle of Data

R-squared measures how well your data fits a regression line. More specifically, it’s how much variation in the response variable your linear model explains. it is expressed… Read More »R-Squared in One Picture

Cross Validation explained in one simple picture. The method shown here is k-fold cross validation, where data is split into k folds (in this example,… Read More »Cross Validation in One Picture

Confidence intervals (CIs) tell you how much uncertainty a statistic has. The intervals are connected to confidence levels and the two terms are easily confused, especially… Read More »Confidence Intervals in One Picture