What exactly is an Anderson-Darling test? Testing for normality is often the first step in analyzing your data. Many statistical tools you might use have normality as an underlying assumption. If you ...

A new evaluation method assesses the accuracy of spatial prediction techniques, outperforming traditional methods. This could help scientists make better predictions in areas like weather forecasting, ...

"One bad assumption that has not changed since I got into this industry is still that more information is better all the time ...

Rigorous testing is still required, but an abstraction layer can significantly reduce errors in the fab while optimizing ...

With the Republicans holding majorities in both the Senate and House of Representatives, the resistance to the Trump ...

A decades-long study of Danish conscripts finds that despite the rise in obesity, the inverse relationship between intelligence and BMI has remained unchanged.

That Ireland hardly missed Mack Hansen was testament to the ease with which Nash adapted to the top tier, and it’s worth ...

Our failure wasn't about execution—it was about assumptions. Here are the three ... that fit different market segments we wanted to test out. We analyzed the data and included it in our pitch ...

If a board does not ask the right questions, it risks approving strategies that are poorly thought out, financially unsound, ...

New coaches get dragged around regional media outlets to face redundant inquiries from reporters eager to shape a few biographical tidbits into broad assumptions and grand projections.