Statistical Analysis Articles

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.

K. Jagathish

Updated on May 17, 2023

Finding a value in an array is useful for effective data analysis. Learn how to discover what a JavaScript Array contains using indexOf, includes, for loop, some methods and more.  

Gianluca Malato

Updated on May 03, 2023

The Shapiro-Wilk test is a hypothesis test that is applied to a sample and whose null hypothesis is that the sample has been generated from a normal distribution.

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.

Sara A. Metwalli

Updated on April 04, 2023

The Gamma distribution is one of the most popular and commonly used continuous time distributions because it has many real-world applications. Here are some examples.

Anthony Corbo

Updated on December 29, 2022

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

Abdishakur Hassan

Updated on December 21, 2022

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

Terence Shin

Updated on December 16, 2022

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