Site Loader

Loosely speaking, a statistic is any function of a sample from the distribution of a random variable; statistics aim to extract information from an observed sample to summarise the essential features of a dataset

In general, statistics can be divided into two categories based on their purposes: descriptive statistics and inferential statistics.

In this brief tour of a far-reaching and ubiquitous subject, we will highlight ten areas of particular interest to consultants and data scientists.

Data Science Report Series #9: Statistical Analysis (Draft), by Patrick Boily, Jennifer Schellinck, and Shintaro Hagiwara.

Post Author: Patrick Boily

Patrick is interested in the applications of mathematics and statistcs to evidence-based decision support. He has worked on 25+ such projects since 2008. He has extensive experience in data science, machine learning, A.I. and predictive analytics, data cleaning and data visualization.