Climate change is intensifying risks to water, sanitation, and hygiene (WASH) services in rural Cambodia, raising questions about how climate-resilient services can be delivered equitably and who ...

Wondering where to find data for your Python data science projects? Find out why Kaggle is my go-to and how I explore data ...

This paper examines whether Chinese development finance is associated with faster progress toward Millennium Development Goal style targets in low- and middle-income countries. We combine AidData’s ...

Learn the distinctions between simple and stratified random sampling. Understand how researchers use these methods to accurately represent data populations.

Students had to compile a portfolio and discuss it in an interview to demonstrate their understanding and ability to apply the knowledge.

Strong statistics concepts help explain patterns and guide reliable decisions across many fields. Clear understanding of data types and sampling improves accuracy and reduces common analysis mistakes.

Data quality is critical for successful data processing, with robust statistics essential for handling outliers and ensuring accurate representation. The standard deviation is sensitive to outliers, ...

Conclusive research is a structured data collection technique that provides detailed, factual information that's useful in decision-making. Descriptive marketing research is a form of conclusive ...

The Bureau of Labor Statistics, which tracks prices and employment, faces scrutiny after several missteps. Some questions have gone unanswered. By Ben Casselman and Jeanna Smialek It has been a rough ...