Statistical Analysis Articles

Maria Julia Yanzi

Updated on March 26, 2024

Our expert dispels three prevalent misconceptions about women in STEM.

Pau Blasco Roca

Updated on February 15, 2024

After collecting life stats data for a year, here’s what you can learn by applying data analysis like correlation studies, time series analysis, Fourier transform and more.

Shivam Chaudhary

Updated on January 24, 2024

The 1.5 IQR rule determines that any data point that’s 1.5 IQR points below the first quartile of data or above the third quartile is an outlier. Here’s why it’s 1.5 times IQR.  

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.

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.