Discover how sample size neglect impacts statistical conclusions and learn to avoid this cognitive bias studied by renowned experts like Tversky and Kahneman.

Abstract: High-dimensional signal processing and data analysis have been appealing to researchers in recent decades. Outlier detection and sample-size determination are two essential pre-processing ...

St. Laurence’s Pauly Rzadkosz definitely felt the heartbreak that comes with being less than two minutes away from a state championship and seeing it slip away. On the other hand, though, the junior ...

Equivalence tests often are used for demonstrating bioequivalence between two biopharmaceutical formulations, with the two one-sided test (TOST) being a common, regulator-accepted statistical method ...

The FAA is seeking public comments on proposed guidance that would define sample sizes for parts manufacturer approval (PMA) applicants seeking certification for engine and auxiliary power unit (APU) ...

Have you ever stared at a tangled web of Excel formulas, wondering if there’s a better way to make sense of it all? For many, Excel’s LAMBDA function feels like a cryptic puzzle—powerful but ...

Accurate sample size estimation is a cornerstone of successful Institutional Review Board (IRB) proposals, as it establishes the feasibility of clinical studies and ensures they are sufficiently ...

ABSTRACT: Small-scale fishing communities, including those in Liberia, face increasing threats from climate change. The FAO reports that these fisheries support over 120 million people globally, with ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. A crucial issue in the plastic recycling industry is the loss of quality in recycled ...

If you've ever attended a Formula 1 event, you'll know: The cars are loud. The revving of an F1 car’s power unit can reach up to 140 decibels. That’s like standing next to a firework as it’s exploding ...