Summary Stats
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Authors
Friedland , Steven S.
Issue Date
2024-10-16
Type
Learning Object
Language
en
Keywords
statistics , textbook , oer , oer grant
Alternative Title
Abstract
The statistical program Summary Stats© was written by Steven S. Friedland pursuant to a grant from the National University OER & Curriculum Support Transformation Initiative #5757 for delivery as a Creative Commons resource.
Summary Stats is a descriptive statistics program designed to automate the calculation of the most commonly used measures of central tendency and variability. Students enter sample data in Column A of the Excel spreadsheet
and instantly see the output of the mean, median, sample standard deviation, sample variance, and Coefficient of Variation.
Description
Steven S. Friedland has taught at universities, community colleges, and a parochial school since earning a master's degree at the University of Iowa with an emphasis in policy research and statistics and at Northeastern University, a BA degree with an emphasis in public administration and economics.
He has worked in government agencies at the local, state, and Federal level, for non-profit organizations, on quality improvement projects for business firms, and as a research specialist for health administration organizations. In Boston, Steve was Executive Producer for Public Affairs and Religious Programming providing shows for CBS Radio. In Fresno, he was systems manager responsible for operations and IT for a local construction firm.
Steve currently serves as Chair of a City Parks and Recreation Commission in Oregon and as Secretary of the Executive Board for a non-profit promoting green spaces and outdoor activities.
At National University, Steve is the Subject Matter Expert in the School of Professional Studies for the Quantitative Methods in Public Administration course. He has taught statistics and research methodology courses in the School of Business & Management and the School of Nursing. Steve is a member of the Association for Public Policy Analysis and Management. As a member of the American Statistical Association, Steve is a section member of the Joint Government and Social Statistics Section, the Section on Statistics and Data Science Education, the Section on Statistics and the Environment, the Section on Statistics in Defense and National Security, the Section on Statistical Learning and Data Science, and the Survey Research Methods Section.