The Arizona Chapter concluded its first ASA DataFest competition on March 25 with excellent participation from students of Arizona State University’s Tempe and West campuses.
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Data Resources for Data for Good Researchers
In this month’s column, David Corliss lists a variety of places researchers can go to find good data.
Teaching Statistical Literacy to Non-STEM Majors: Challenges and Opportunities
Michelle Everson and Ellen Gundlach’s students are more likely to be consumers of statistical information than producers of statistics, so they developed courses designed to help students become critical consumers of statistical information.
CSP 2017 Brings Statisticians Face to Face
The 2017 Conference on Statistical Practice was held February 23–25. Four hundred fifty participants gathered at the Hyatt Regency Jacksonville Riverfront in Jacksonville, Florida.
Why Be an Independent Consultant?
Stephen Simon shares the pros and cons of being a statistical consultant, along with tips for starting your own business.
San Antonio Chapter Hosts Statistics Career Day
The San Antonio Chapter hosted Statistics Career Day March 5 to emphasize the significance of statistical and quantitative education in any career path, as well as raise awareness regarding statistics as a rewarding profession.
The Paradox of Choice: Statistical Software Packages
With such a vast array of similar programs available, many students feel uneasy when thinking about which programs they would be asked to use in a professional setting.
Q&P Invites All to Fall Technical Conference
This year’s Fall Technical Conference will take place in Kansas City, Missouri, from October 12–15. The conference, themed “Quality and Statistics: Getting Up to Date,” is a premier forum in which to discuss topics at the interface of statistics and quality, leading to a more effective use of statistics to improve quality.
Engaging Program Planned for JSM
The Section for Statistical Programmers and Analysts’ program includes presentations and discussions focusing on R and SAS programming, Bayesian methodology, and CDISC, along with a variety of other topics of interest to statistical programmers.