Statistical Analysis Articles

Jeremy Zhang

Updated on January 17, 2024

Importance sampling is an approximation method that uses a mathematical transformation to take the average of all samples to estimate an expectation. Here’s how to do it.   

Max Hilsdorf

Updated on January 16, 2024

A histogram is a common method for visualizing variable distribution. Follow these steps to beautify your histograms in Matplotlib.

Terence Shin

Updated on December 21, 2023

Statistical bias is when a model or statistic is unrepresentative of the population. There are six main types of bias in statistics.

Anthony Corbo

Updated on November 07, 2023

Inferential statistics is the practice of using sampled data to draw conclusions or make predictions about a larger sample data sample or population.

Jørgen Veisdal

Updated on October 09, 2023

The pigeonhole principle states that if n items are put into m containers, with n > m, then at least one container must contain more than one item.

Cassie Kozyrkov

Updated on June 14, 2023

Everyone wants their thinking to be “data-driven,” but what exactly does that mean in practice? Our expert shares a primer on what statistics can and can’t tell you.

Edoardo Romani

Updated on April 11, 2023

Pattern recognition is an automated process thanks to the availability of computer power to ingest data, process it, recognize its patterns and share it for further analysis. Here’s how pattern recognition works.

Peter Grant

Updated on April 06, 2023

Prescriptive analytics is a tool used in many industries to connect causes to effects, and make well-informed decisions. Here’s why, when and how we use prescriptive analytics.

Dawn Kawamoto

Updated on March 15, 2023

A data analyst reviews company data to assess its current situation while a data scientist uses coding and advanced modeling techniques to answer current and future company questions.

Abdishakur Hassan

Updated on March 15, 2023

Statistical analysis helps you pull meaningful insights from data. The process involves working with data and deducing numbers to tell quantitative stories.