Proper statistical analysis begins with understanding the specific comparison being made. Common mistakes often stem from ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Statistical significance is a critical concept in data analysis and research. In essence, it’s a measure that allows researchers to assess whether the results of an experiment or study are due to ...

Many businesses rely on statistical analysis to organize collected information and predict future trends based on that data. While organizations have lots of options on what to do with their big data, ...

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 ...

Clustering and nesting (C&N) arise in many preclinical studies, such as when animals are group-housed or share litters, or in cell culture. Ignoring C&N undermines the validity of analyses. Here, we ...

Repeated measures studies are frequently performed in patient-derived xenograft (PDX) models to evaluate drug activity or compare effectiveness of cancer treatment regimens. Linear mixed effects ...

When you use the statistical analysis features in Excel, you are leveraging one of the most powerful tools available for data manipulation and interpretation. Excel is not just a spreadsheet ...