Usually when it comes to writing, mathematics and statistics probably aren’t the first things that come to mind. However, quite the number of us have had to face an instance where a source based on ...

Misuse of statistics in medical and sports science research is common and may lead to detrimental consequences to healthcare. Many authors, editors and peer reviewers of medical papers will not have ...

How to use statistical tools for component tolerance analysis. A look at methods such as Monte Carlo and Gaussian distribution. Simulating a dc-dc converter in LTspice to model closed-loop voltage ...

When products start failing, management wants answers. Are they failing because of manufacturing problems? Or is the design to blame? One of the most widely regarded methods for ferreting out the ...

In oncology drug development, biomarker-driven studies are pivotal, enabling the selection of patient populations most likely to benefit from specific therapeutic interventions. These studies have ...

Modern businesses are awash in data, including operational and financial. Decisions that once relied on management intuition now involve careful analysis of financial statements, spreadsheets and ...

Generally speaking, there are two types of outcomes (i.e. response) in statistical analysis: continuous and categorical responses. Linear Models (LM) are one of the most commonly used statistical ...

Robust statistical reasoning is vital in the courtroom, as historical cases have shown. Take, for example, the case of Sally Clark, who became the victim of a miscarriage of justice when she was ...