#statistical-analysis

A/B Testing: Just Hypothesis Testing in Disguise

The Complete A/B Testing Playbook — Part 1: How null hypotheses, alternative hypotheses, and statistical thinking power every experiment

Insight Doang Nggak Cukup — Saya Butuh Tau Ini Membaik atau Memburuk

Dua tulisan sebelumnya mengajarkan saya cara membaca satu potret kesehatan portofolio. Potret itu ternyata tidak pernah cukup — dan begitu…

ANOVA in R: Single-Factor and Two-Way Analysis of Variance from Scratch

## A complete workflow from assumption checks to interaction effects and emmeans simple effects for ecologists

What is Machine Learning, Really?

What Is Machine Learning?

What are the assumptions of linear regression?

The main assumptions of linear regression are:

Determinants of Customer Satisfaction in Banks in Nigeria: A Statistical Analysis Using Minitab

By Chukwuma E. Divine a student studying data science @Lagos School Of Programming

What is a p-value, and how is it interpreted?

What is a p-value, and how is it interpreted?

Multivariate Statistical Data Analysis: A Complete Guide

Multivariate statistical data analysis is a sophisticated method of analyzing multiple data variables at once to identify patterns…

The Wilcoxon Signed‑Rank Test: A Robust Alternative to the Paired t‑Test

“This article is part of a series of articles on non-parametric alternatives to statistical tests. You can find all the other articles…

Statistics: Cox Proportional Hazards Model

Introduction

Predicting the Unpredictable: How I Built a Statistical Model for World Cup 2026 (And What It…

Like millions of football fans around the world, I spent my childhood arguing about who would win the next big match. But as I grew older…

When the Data Speaks and the Crowd Doesn’t Listen

A Historical Perspective on the US Market, July 2026

Why Do Some People Hide Their Happiness? A Psychological Look at Fear of Envy (Nazar)

Have you ever hesitated before sharing good news?

The Central Limit Theorem Explained Without a Single Equation (For People Who Failed Stats Once)

You don’t need the formula to actually understand the most important idea in statistics. You need one good analogy and five minutes.

Maximizing Data Quality with Advanced SAS V 9.4 Validation

Translating clinical observations into a reliable regulatory package demands highly accurate data processing and statistical validation…

Why Your A/B Test Results Are Probably Wrong: A Statistician’s Guide to Silent Sample-Size Sins

The test said you won. The math says something different.

Який саме метод статистичного аналізу слід використовувати?

Переклад статті Jeff Sauro, PhD

Ad Impact: Statistical A/B Testing on Marketing Conversion

A Marketing Campaign project on data, from hypothesis to business decision.

Statistical Investigation of Factors Influencing Adult Obesity Using Minitab

By Ruth C. Ezefili

มุมมองใหม่สู่โมเดลเชิงสถิติในระบบผลลัพธ์

สรุปสั้น: การทำความเข้าใจระบบผลลัพธ์ดิจิทัลอย่างลึกซึ้ง ไม่ได้ขึ้นอยู่กับการมองหารูปแบบในระยะสั้น…

Unmasking the Mathematics: The 5 Most Misunderstood Concepts in Regression Models

“All models are wrong, but some are useful.” — George Box

YES–I write for People who (will) never Follow Me

I feel a strange freedom in writing for them. Ahem….

The Architecture of Belief: A Statistical Analysis of Why Fake News Outlasts Facts

Why the human mind rejects empirical evidence, explained through distributions, t-tests, and regressions.

Basic Statistics with Python: Central Tendency and Data Dispersion

Implementation of basic statistical analysis is quite straightforward in Python. There are several important libraries with built-in…

Bayesian Thinking in Clinical Research

Part 1: What Do We Actually Mean by a “Prior”?

The Anatomy of a High-Velocity Experimentation Engine

A very common question in any experimentation phase that comes sooner or later is “How to scale the A/B testing infrastructure from 10 to…

A Practical Guide to A/B/n Testing: When One Challenger Is Not Enough

“Do not put all your eggs in one basket.” — Miguel de Cervantes

Decoding the “Occupancy Premium”: How the 2008 Crisis Redefined U.S. Housing Values.

A Comprehensive Longitudinal Study using MS Excel by Utilizing Regression Analysis, Hypothesis Testing, and Build a Predictive Housing…

A Practical Guide to PCA: How to Shrink Your Data Without Losing What Matters

“The art of being wise is the art of knowing what to overlook.” — William James

What a Preprint Can’t Tell Us About Hantavirus’ Contagiousness

Bayesian Decision Making-1

Statistical Decision Making Part-I

Statistical Analysis and Risk Modeling of Health Insurance Policyholders

Health insurance companies rely heavily on statistical analysis to make pricing decisions, estimate financial risk, and understand…

What is cross-validation, and why is it used?

Cross-validation is a statistical technique used in machine learning to evaluate how well a model will perform on unseen data.

Polygenic Risk Scores (PRS): Explained in Simple Terms

Modern genetics has revealed an important insight: most complex diseases are not caused by a single gene but by many genetic variants…

Failure Mode and Effects Analysis (FMEA): Turning Risk into Preventive Control

By Tania Noronha

Measurement System Analysis (MSA): Why Good Projects Fail Without Good Data

By Tania Noronha

Analyzing the Impact of Increasing Daily Wages of Tea Plantation Labourers to LKR 2000

The tea industry is of immense importance to Sri Lanka, as it employs thousands of workers and generates significant revenue for the…

Understand Your Data Better: Calculate Standard Deviation Instantly with the Smart Calculator

Ever wondered how spread out your data really is?  How far values deviate from the average?  Or whether your data is consistent or highly…

Understanding Statistical Significance in Modern Data Analysis

You’ve probably heard someone say “the results are statistically significant” and wondered what that really means. Or maybe you’re staring…

Unemployment and Psychological Distress: An Analysis Using NHIS Data

Co-authors: Aziza Altyyeva & Ameer Abedy

The Night Data Finally Started Making Sense

I still remember the exact moment it hit me.

Fractal Market Hypothesis: From Theory to Practice

Fractal Market Hypothesis is an alternative framework that models financial markets through long-memory and multi-scale dynamics. There is…

Кластерные эксперименты, часть 1. Юниты тестирования и анализа, симуляции зависимых данных.

Про юниты тестирования, ratio-метрики, вот это вот все.

Break-Even Analysis Simplified

When Does Your Business Actually Start Making Money?

Measuring Correlation Between Continuous and Discrete Data: Methods and Insights

In data analysis, understanding the relationship between variables is crucial, but not all variables are created equal. While continuous…

Statistical Data Analysis: Methods, Techniques, and Applications

In today’s data-driven world, organizations across industries rely on statistical data analysis to extract meaningful insights, solve…

Some Statistical Techniques Behind Bioinformatics Methods & Genomics Discoveries

Biology has always been an information science, so this piece is dedicated to shedding some light on some of the maths driving biomedicine

Control Charts for Discrete (Attribute) Data: A Guide to Statistical Process Control

Introduction

SQL Server DBCC SHOW_STATISTICS Çıktısı Nasıl Yorumlanır

Problem

Data Analytics… Eww, That’s So Old School!

Who even has time for this? The first job title every economics and statistics student (I assume) hears about is Data Analyst. It sounds…