Low statistical power undermines the purpose of scientific research; it reduces the chance of detecting a true effect. Perhaps less intuitively, low power also reduces the likelihood that a ...

Regression is a statistical tool used to understand and quantify the relation between two or more variables. Regressions range from simple models to highly complex equations. The two primary uses for ...

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

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 ...

The data genie is well and truly out of the bottle. The presence of data-driven consultancies, the rise of public data websites and the growth of its use in the media (cough, cough) highlight how ...

Alexandra Twin has 15+ years of experience as an editor and writer, covering financial news for public and private companies. Cierra Murry is an expert in banking, credit cards, investing, loans, ...

Scientists at Pompeu Fabra University (UPF) have made a great leap forward in predicting the risk of hip fracture among women ...

It's a bit late now, because the course is over, but still, giving a real-world example of statistical analysis that is actually relevant to daily life would possibly spark something in the relative ...