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QQ-Plots Explained

After performing an ANOVA analysis, it is crucial to validate the assumptions that underlie the statistical model we have created. One powerful tool for this purpose is the Quantile-Quantile plot, or

Residual Analysis

You've conducted a DoE, visualized the results, and used ANOVA to create a model for decision making. But how good will the decisions be based on your model? You need to validate it first. Visual C

In our last blog post, we used ANOVA to systematically build a mathematical model for our filtration rate experiment. We identified which parameters were significant, eliminated the noise, and ended u

How to perform ANOVA

From Random Model Building to Systematic ANOVA In our last blog post, we learned what a model is and what it can do for us. We even built one for our filtration rate experiment. But if you're being

Mathematical Models in DOE

We’ve explored full and fractional factorial designs, and so far, we’ve relied on data visualization using main effect and interaction plots to understand our system. While data visualisation provide

Create a Fractional Factorial Design in Python

This guide walks you through creating fractional factorial designs using Python's pyDOE3 package. I won't cover the theory of what fractional designs are or how they work—if you need that background

Example of a Fractional Factorial Design

Introduction Fractional factorial designs are a powerful tool in the Design of Experiments (DoE) toolbox. They allow you to systematically explore the effects of multiple factors while significantl

Introducing Fractional & Central Composite Designs

When it comes to experimental design, full factorial designs are often the starting point. They’re straightforward, systematic, and provide a complete picture of the interactions between factors. Howe

Create a Full Factorial Design in Python

Professional DOE software can cost thousands of dollars - money that students and startups often don't have. Fortunately, Python offers a free alternative! The **[pyDOE3](https://pydoe3.readthedocs.io