Applied Statistics in Business and Economics

Applied Statistics in Business and Economics
Author: David P. Doane
Publisher:
Total Pages: 834
Release: 2006-02
Genre: Commercial statistics
ISBN: 9780071108140

David Doane offers an Excel focused approach to using statistics in business. All statistical concepts are illustrated with applied examples immediately upon introduction.

Catalog of Copyright Entries, Third Series

Catalog of Copyright Entries, Third Series
Author: Library of Congress. Copyright Office
Publisher:
Total Pages: 1680
Release: 1976
Genre: Copyright
ISBN:

The record of each copyright registration listed in the Catalog includes a description of the work copyrighted and data relating to the copyright claim (the name of the copyright claimant as given in the application for registration, the copyright date, the copyright registration number, etc.).

Loose-Leaf for Applied Statistics in Business and Economics

Loose-Leaf for Applied Statistics in Business and Economics
Author: Lori . Seward
Publisher: McGraw-Hill Education
Total Pages: 848
Release: 2021-01-12
Genre: Business & Economics
ISBN: 9781264098569

Applied Statistics in Business and Economics, 7th edition, provides real meaning to the use of statistics in the real world by using real business situations and real data while appealing to students who want to know the why rather than just the how. The text emphasizes thinking about data, choosing appropriate analytic tools, using computers effectively, and recognizing the limitations of statistics. It motivates student learning through applied current exercises and cases that provide real-world relevance and includes analytics in action, careers, and applications of big data, Artificial Intelligence, and machine learning (including ethical issues). The Doane and Seward authors work as a team, integrating the digital and eBook assets seamlessly. In recognition of a growing interest in analytics training beyond Excel, the textbook now provides an optional introduction to R with illustrations of topics in each chapter. Support for R is further enhanced with Learning Stats modules, tables of R functions, and R-compatible Excel data sets.