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 ...

High-throughput screening (HTS) is the backbone of drug discovery within the pharmaceutical industry. Over the past decade it has also made its way into academic settings. The combination of robotic ...

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 ...

What are the differences between gathering and analyzing quantitative and qualitative information? Better yet, how can you develop these skills and use this knowledge in a real-world job? Quantitative ...

Mitchell Grant is a self-taught investor with over 5 years of experience as a financial trader. He is a financial content strategist and creative content editor. Timothy Li is a consultant, accountant ...

Math is applied to nearly every field and industry, and studying statistics and data analysis prepares students for many opportunities. Our students explore traditional statistical methods as well as ...

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 ...

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 ...