Inferential Statistics Articles

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Jeremy Zhang
Updated on January 17, 2024

Importance Sampling Explained

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.

Terence Shin
Updated on December 21, 2023

Statistical Bias: 6 Types of Bias in Statistics

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

What Is Inferential Statistics?

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 Explained

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.

Niklas Donges
Updated on March 15, 2023

Intro to Descriptive Statistics for Machine Learning

What you need to know to get started with descriptive statistical analysis.

Sara A. Metwalli
Updated on March 15, 2023

4 Probability Distributions Every Data Scientist Needs to Know

If you’re just getting started on your journey toward becoming a data scientist, these are the 4 most common distributions you’ll encounter.