Financial word of the day: Heteroscedasticity describes a situation where risk (variance) changes with the level of a ...

Whether assessing the value of a player, allocating capital, or managing exposure, data-driven decision-making is about ...

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

Over the long term, jobs data from private payroll processor ADP aligns with official BLS data without major anomalies.

CaptivateIQ reports companies waste 89 hours monthly on manual commission tasks, hindering growth and analysis opportunities.

Don't be fooled by a graph. New research shows that a scientist's policy preferences can influence their results. Look past the model and find the ground truth.

Wall Street firms expect to see another year of double-digit gains in 2026, which follows three consecutive years of elevated ...

Introduction: Moving Beyond Predictive Accuracy  Prediction has been traditionally the backbone of applied data science. From ...

These obscure charts might be the key to visualizing your data.

The biopharmaceutical sector is transitioning from reactive off-line quality control to a proactive quality by design (QbD) framework. Process analytical technology (PAT) enables this shift through ...

To ensure credible and efficient cost management in the execution of projects, the Nigerian Institute of Quantity Surveyors (NIQS) has been advised to adopt data-driven decision-making and to avoid ...

Toward a Further Understanding of Suicide Risk from a Mindset Framework among Older Adults. Psychology, 17, 126-137. doi: ...