This picture compares two different types of bootstrap (parametric and non-parametric) with their traditional counterpart. References Which Bootstrap When? Introduction to Empirical Processes and Semiparametric… Read More »Parametric and Non Parametric Bootstrap, Traditional Parametric: Comparison in One Picture
Unsupervised learning algorithms are “unsupervised” because you let them run without direct supervision. You feed the data into the algorithm, and the algorithm figures out… Read More »Unsupervised Learning Algorithms in One Picture
Which statistical method you use to compare data sets depends on two main factors: your overall goal and the type of data you have. Parametric… Read More »Comparing Data Sets in One Picture
P-values (“Probability values”) are one way to test if the result from an experiment is statistically significant. This picture is a visual aid to p-values, using… Read More »P-Value Explained in One Picture
Correlation and regression analysis both deal with relationships between variables. There are many different types of correlation and regression; This image focuses on the differences… Read More »Difference Between Correlation and Regression in One Picture
Evaluating a model is just as important as creating the model in the first place. Even if you use the most statistically sound tools to… Read More »Comparing Model Evaluation Techniques Part 1: Statistical Tools & Tests
R-squared can help you answer the question “How does my model perform, compared to a naive model?”. However, r2 is far from a perfect tool. Probably the… Read More »Alternatives to R-squared (with pluses and minuses)
You may have figured out already that statistics isn’t exactly a science. Lots of terms are open to interpretation, and sometimes there are many words… Read More »Significance Level vs Confidence level vs Confidence Interval
Correlation coefficients enable to you find relationships between a wide variety of data. However, the sheer number of options can be overwhelming. This picture sums… Read More »Correlation Coefficients in One Picture
What is the Difference Between Stratified Sampling and Cluster Sampling? The main difference between stratified sampling and cluster sampling is that with cluster sampling, you… Read More »Quota Sampling vs. Stratified Sampling
