The volumes of genetic, biodiversity, and environmental data that can be obtained from individual studies are growing at an impressive rate, as are the public repositories sharing these data. Such ...

This course focuses on experimental design and applied statistical methods for data analysis. Students will learn how to design and interpret experiments considering multiple variables, avoiding ...

Microsoft 365 Copilot and StatCrunch illustrate two contrasting approaches to working with data—AI-driven automation versus manual, menu-based statistical analysis. Copilot integrates across Excel, ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

Meta-analysis is an objective examination of published data from many studies of the same research topic identified through a literature search. Through the use of rigorous statistical methods, it can ...

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 ...

Learn the systematic process for sorting data to aid in your business decision-making. The core objective of market research is to provide evidence-based insights that decrease uncertainty and risk.

The Bachelor of Science in Statistics and Data Science is the college’s newest major. The curriculum is designed to equip students to execute all stages of a data analysis, from data acquisition and ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...