Microsoft Excel’s Data Analysis Toolpak is an invaluable add-in for those who require complex statistical or engineering analyses. This powerful feature allows users to execute a variety of data ...

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

Understanding some statistics is important for general science literacy. Below are some common statistics resources that may be useful for your project work. To support your professional development, ...

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 ...

African American adolescents are disproportionately represented in urban public housing developments. These neighborhoods are generally characterized by high rates of poverty, crime, violence, and ...

In 2021, the waves of the pandemic started to quickly unravel supply chains across the world. Manufacturing plants slowed or even closed, ports experienced unprecedented back-ups, and transportation ...

Additive models and tree-based regression models are two main classes of statistical models used to predict the scores on a continuous response variable. It is known that additive models become very ...

The information presented here is intended to describe the course goals for current and prospective students as well as others who are interested in our courses. It is not intended to replace the ...

R Commander is a user-friendly GUI for R, tailored for those less familiar with coding. It simplifies statistical analysis, data visualization, and management through menus and dialogs, removing the ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation The development and deployment of large language models like ChatGPT across the world requires expanding data centers that ...