Contact Us
Featured Resources
- Against All Odds: Inside Statistics
This link opens in a new window
"Picking up where the original Against All Odds left off in the 1980s, the new series maintains the same emphasis on "doing" statistics. Video modules take viewers on location to where people from all walks of life are using statistics in their work. Online materials allow viewers to practice and review what they’ve learned." -- Annenberg Learner - Ethical Guidelines for Statistical Practice"Prepared by the Committee on Professional Ethics of the American Statistical Association
Approved by the ASA Board in April 2018" --resource. - SDA: Survey Documentation and Analysis"SDA is a set of programs for the documentation and Web-based analysis of survey data. SDA was developed, distributed and supported by the Computer-assisted Survey Methods Program (CSM) at the University of California, Berkeley until the end of 2014. Beginning in 2015, CSM is managed and supported by the Institute for Scientific Analysis, a private, non-profit organization, under an exclusive continuing license agreement with the University of California."--website
- Seeing Theory: a Visual Introduction to Probability and StatisticsSeeing Theory was created by Daniel Kunin while an undergraduate at Brown University. The goal of this website is to make statistics more accessible through interactive visualizations (designed using Mike Bostock’s JavaScript library D3.js
- What's Going on in This Graph?New York Times
- Wolfram Alpha
This link opens in a new window
This link opens in a new window
From the developer website: "Wolfram|Alpha App lets you instantly compute answers to questions across thousands of domains—from finance and food to math and medicine to stocks and spacecraft to wordplay and weather..." - Wolfram MathWorldThis site advertises itself as the most extensive mathematics resource on the web. A free resource from Wolfram Research, created by Eric Weisstein.
Discovering Math: Advanced. Statistics and Data Analysis. Part 1- This link opens in a new window
Call Number: Streaming MediaPublication Date: 2016- Discovering Math: Advanced. Statistics and Data Analysis. Part 2
- This link opens in a new window
Call Number: Streaming MediaPublication Date: 2016 - Branches of Statistics : Lecture 1, Part 1
- This link opens in a new window
Call Number: Streaming MediaPublication Date: 2010
- Statistics Open Educational Resources - Concordia University Library Guide"On this page you will find several open Statistics textbooks along with supplemental material and a few lecture videos. " -- Concordia University
- High School StatisticsKhan Academy
- Statistics and probability (Khan Academy)Khan Academy
- Statistics for ApplicationsMITOPENCOURSEWARE This course offers an in-depth the theoretical foundations for statistical methods that are useful in many applications. The goal is to understand the role of mathematics in the research and development of efficient statistical methods.
- Introduction to ProbabilityMITOPENCOURSEWARE The tools of probability theory, and of the related field of statistical inference, are the keys for being able to analyze and make sense of data. These tools underlie important advances in many fields, from the basic sciences to engineering and management. This resource is a companion site to 6.041SC Probabilistic Systems Analysis and Applied Probability. It covers the same content, using videos developed for an edX version of the course.
Analytics Boot Camp by Call Number: SBU BOL Book 005.7 H425ISBN: 9781631574856Publication Date: 2017-01-31- How to use Microsoft Excel 2007
- This link opens in a new window
Call Number: Streaming mediaPublication Date: 2008
- Beginner's guide to R: IntroductionBy Sharon Machlis, Executive Editor, Data & Analytics, Computerworld | AUGUST 18, 2017
- CHOOSING THE CORRECT STATISTICAL TEST IN SAS, STATA, SPSS AND RUCLA Institute for Digital Research & Education. The Institute provides a table that can be used to select statistical tests, andinstructions on how to run the tests in SAS, STATA, SPSS, and R.
- The R Project for Statistical Computing"R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues...R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity.."
Basic Statistics: an introduction with R by Call Number: E-bookISBN: 9781442218482Publication Date: 2012-10-04
R : data analysis and visualization : a course in five modules by Call Number: E-bookISBN: 9781786460486Publication Date: 2016
R for Data Science by Call Number: SBU BOL Book 006.312 W632ISBN: 9781491910399Publication Date: 2017-01-05
- CHOOSING THE CORRECT STATISTICAL TEST IN SAS, STATA, SPSS AND RUCLA Institute for Digital Research & Education. The Institute provides a table that can be used to select statistical tests, andinstructions on how to run the tests in SAS, STATA, SPSS, and R.
- SPSS Tutorials: HomeA Kent State University Libraries research guide
Discovering Statistics Using IBM SPSS Statistics by Call Number: SBU BOL Book 300.285 F453ISBN: 9781526419514Publication Date: 2018-01-15
Marketing Research with IBM® Spss Statistics by Call Number: SBU BOL Book 658.8 C384ISBN: 9781472477453Publication Date: 2016-07-28
