Category: Making Statistics Accessible
This category is dedicated to breaking down complex statistical ideas into clear, practical insights that anyone can understand and apply. Whether you are a researcher, business professional, student, or decision-maker, the goal is to make statistics approachable without sacrificing accuracy or depth.
Here you will find explanations of key statistical concepts, real-world case studies, and hands-on examples designed to bridge the gap between theory and practice. From foundational principles to advanced methods, every article focuses on clarity, transparency, and practical relevance, ensuring that statistical knowledge becomes an accessible tool for learning, problem-solving, and informed decision-making.

Aug 23,2025

Making Statistical Concepts Accessible – Edition 1: What is a p-value, simply explained by example?

P-value, short for ‘Probability-Value,’ serves as a crucial metric in hypothesis testing, primarily assessing the strength of evidence against the null hypothesis. Let’s delve into an example: Consider a randomized clinical trial focused on the…

3 D Statistical Learning

Aug 23,2025

Making Statistical Concepts Accessible – Edition 2: Hypothesis Testing by example

In the inaugural segment of ‘Making Statistical Concepts Accessible,’ we delved into the nuanced world of p-values, providing a clear definition underscored by practical examples. For a detailed understanding, follow the link to the first…

3 D Statistical Learning

Aug 23,2025

Making Statistical Concepts Accessible – Edition 3: Simple Linear Regression by example

Let’s begin with a Simple Linear Model overview before diving into the practical example: Understanding the relationship between the dosage of a drug (independent variable) and its influence on patients’ health outcomes (dependent variable) Simple…

3 D Statistical Learning

Aug 23,2025

Making Statistical Concepts Accessible – Edition 4: Discerning Variable Types for Informed Analysis

Understanding the scale of a variable is paramount in determining the appropriate statistical analysis. The type of variable you’re working with dictates the methodologies and tools you should employ. In our third serie of making…

3 D Statistical Learning

Aug 23,2025

Making Statistical Concepts Accessible – Edition 5: Exploring Correlation and Regression Analysis in Healthcare

In the dynamic world of healthcare research and analysis, correlation and regression analyses stand out as vital tools, offering profound insights into the intricate relationships between variables. While both methods shed light on how changes…

3 D Statistical Learning

Aug 23,2025

Making Statistical Concepts Accessible – Edition 6: Introduction to Multiple Linear Regression – Advancing Beyond the Simple Linear Model

To grasp the concept of multiple linear regression, it’s essential to first understand the simple linear model, which we covered in our third edition of the “Making Statistical Concepts Accessible” series. You can review it…