The Statistical & Data Sciences (SDS) Program links faculty and students from across the college interested in learning things from data. At Smith, students learn statistics by doing—class time ...

Solve Real-World Problems With Applied Statistics. Applied Statistics is the implementation of statistical methods, techniques, and theories to real-world problems and situations in several fields, ...

The decision to nominate Brett Matsumoto, a career government economist, came six months after the president fired the ...

The federal statistical system is facing “unprecedented strain, uncertainty and transformation” in the face of staffing losses, funding pressures and threats to statistical integrity, according to a ...

Statistical data science represents an interdisciplinary field that merges the rigour of probability theory and statistical inference with modern computational tools to draw insights and make ...

Looking to get into statistical programming but lack industry experience? We spoke with several statistical programmers from diverse backgrounds, and one thing became clear—there’s no single path to ...

Stand Out With This 100% Online Certificate. In a data-driven world, you can build the specialized skills needed to meet the growing demand for those with applied statistics expertise. With Michigan ...

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 ...

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 ...

A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...

A map can take you on a journey, transporting you across continents and cultures all with a single glance. What started as a simple map drawing on a clay tablet centuries ago in Babylon has slowly ...