If you want to understand probability, you have to stop thinking of it as math and start thinking of it as a language. When you translate real-world problems into probability, the entire equation usually hinges on just two words: AND…
Most of the statistical tests you first learn—like the t-test, ANOVA, or Pearson correlation—are parametric tests. Parametric tests are incredibly powerful, but they are also prima donnas. They demand that your data meet a strict set of assumptions. The most…
When you first learn statistics, you live in a very simple world. You look at how X affects Y. Does studying more (X) increase test scores (Y)? Does eating more calories (X) increase weight (Y)? This is called Bivariate Analysis…
Previously, we have seen situations where an outcome (the dependent variable) is based on a single input variable (independent variable). Sadly, real life is rarely as simple. Most outcomes in real situations are affected by multiple input variables. To understand such…
Quartiles are one of the most frequently used methods to split data and understand its spread. In general, data can be divided into various groupings so that an equal number of points fall into each bucket. These division points are…