Let’s start with a definition of Applied Statistics: Applied Statistics is the root of data analysis. The practice of applied statistics involves analyzing data to help define and determine an ...
You know you've been dying to perform complicated statistical analyses. The R programming language might just be your ticket to success. Dave Rosenberg has more than 15 years of technology and ...
Computers form an essential part of modern workplaces. Invented less than a century ago, the humble processor has evolved from a simple number cruncher to a tool that can provide endless amounts of ...
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 ...
Our lab has developed many data analysis workflows adapting and integrating sophisticated statistical methods to evaluate complex molecular datasets that we obtain with MS technologies. We are ...
Menu Statistical Consulting Center Academics Opportunities and Resources Faculty Emeriti Data Analytics applies statistical and computational methods to specific fields of inquiry and decision-making.
The data genie is well and truly out of the bottle. The presence of data-driven consultancies, the rise of public data websites and the growth of its use in the media (cough, cough) highlight how ...
In the early 2000s, the sport of baseball slowly began to embrace sabermetrics, which uses statistical evidence to gain a competitive advantage. What started with a few teams’ front offices would ...
Almost every day you can find in media commentary that XYZ is causing stocks to fall (or rise). Such definitive statements are common—but what’s almost always missing is statistical proof. And if you ...
Collegiate athletic departments have embraced statistical analysis as a core component of their strategy. From tracking player workloads to analyzing opponent tendencies, data provides actionable ...
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 ...
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