| A | B |
|---|
| The first person to make detailed statistical observations from massive amounts of data. He studied records of deaths in London in the early 1600's. His work was the foundation for modern statistics. | John Graunt |
| He is a leading authority on applied probability and data analysis. He worked at Princeton and Cambridge. | David Kendall |
| He worked at Bell Laboratories and is best known for his work in inferential statistics. He worked at Princeton during World War II and introduced exploratory data analysis techniques such as stem-and-leaf plots. | John Turkey |
| He worked together on basic probability problems, especially those dealing with gaming and gambling with Pierre deFermat. | Blaise Pascal |
| He worked together on basic probability problems, especially those dealing with gaming and gambling with Blaise Pascal. | Pierre deFermat |
| The normal distribution is sometimes called the Gaussian distribution. | Carl Freidrich Gauss |
| Described normal distributions in connection with human traits such as height. Used descriptive statistics to analyze crime and mortality data and studied census techniques. | Lambert Quetelet |
| He used regression and correlation to study genetic variation in humans. He is credited with the discovery of the Central Limit Theorem. | Francis Galton |
| Formed the first academic department of statistics and helped develop chi-square analysis. | Karl Pearson |
| Studied process of brewing and developed t-test to correct problems connected with small sample sizes. | William Gosset |
| He introduced two-sample tests which led the way to the development of nonparametric statistics. Was a biochemist who used statistics to study plant pathology. | Frank Wilcoxon |
