Minitab

Minitab can visualize, analyze and harness the power of your data to solve your toughest challenges. Minitab has the market’s most trusted statistical tools to get the most out of your data, discover trends, predict patterns, uncover hidden relationships between variables, visualize data interactions and identify important factors to answer even the most challenging of questions.
Enjoy new levels of productivity and collaboration with Minitab accessible through both your desktop and on the cloud with our web app. With the power of statistics and data analysis on your side and accessible from anywhere, the possibilities are truly endless.

GraphPad Prism

GraphPad Prism combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization. While it won’t replace a heavy-duty statistics program, Prism lets you easily perform basic statistical tests commonly used by laboratory and clinical researchers. Prism offers t tests, nonparametric comparisons, one-, two- and three-way ANOVA, analysis of contingency tables, and survival analysis. Analysis choices are presented in clear language that avoids unnecessary statistical jargon.

Mathematica

Mathematica is a software package that is ideal for communicating scientific ideas, whether visualization of a concept in an introductory level course or creating a simulation of a new idea related to research. Mathematica is commonly used in mathematical sciencesphysical sciencesbusiness and financelife sciencesengineering, and computer science.

Eligibility

  • Faculty, staff, and students are eligible to use products on campus or personal machines
  • Agreement supports use of products in instruction and academic research
  • Licensing is renewed annually and is available only to active students, faculty, and staff

SAS

The SAS System is an integrated suite of software for enterprise-wide information delivery. Applications include executive information systems; data entry, retrieval, and management; report writing and graphics; statistical and mathematical analysis; business planning, forecasting, and decision support; operations research and project management; statistical quality improvement; computer performance evaluation; and applications development.

SPSS / AMOS

SPSS Statistics is a statistical and data management package for analysts and researchers, providing a broad range of capabilities for the entire analytical process, including powerful statistics; data access, preparation, and management tools; high-quality tabular and graphical output, and a variety of reporting methods. University licenses include:

  • SPSS Statistics Base
  • Advanced Statistics
  • Bootstrapping
  • Categories
  • Complex Samples
  • Conjoint
  • Custom Tables
  • Data Preparation
  • Decision Trees
  • Direct Marketing
  • Exact Tests
  • Forecasting
  • Missing Values
  • Neural Networks
  • Regression
  • SamplePower
  • Visualization Designer

STATA

Stata is a complete, integrated statistical package that provides the tools needed for data analysis, data management, and graphics. Stat/Transfer converts data between different spreadsheet and statistical programs, including Stata, Excel, JMP, Matlab, Minitab, SPSS, and SAS.

MATLAB

MATLAB is an integrated technical computing environment that combines numeric computation, advanced graphics and visualization, and a high-level programming language. MATLAB is used in a variety of application areas including signal and image processing, control system design, finance, engineering, and medical research.

IMSL, PV-Wave

The IMSL Fortran, C/C++ and C# Numerical Libraries provide pre-written mathematical and statistical algorithms that can be imbedded into Fortran, C/C++, C# for .NET, and Java applications. JMSL for Java applications combines integrated charting with IMSL Library algorithms. PV-WAVE is an array-oriented programming language used to build and deploy visual data analysis applications. TS-WAVE is for advanced time series analysis, and JWAVE’s multiple graphical and visualization techniques allows for web-based visual data analysis across platforms.

JMP

JMP dynamically links statistics with graphics to interactively explore, understand and visualize data. Includes a comprehensive set of statistical tools, experimental designs, and statistical quality control functions.