9781108725835-110872583X-Statistics Using Stata: An Integrative Approach

Statistics Using Stata: An Integrative Approach

ISBN-13: 9781108725835
ISBN-10: 110872583X
Edition: 2
Author: Sharon Lawner Weinberg, Sarah Knapp Abramowitz
Publication date: 2020
Publisher: Cambridge University Press
Format: Paperback 740 pages
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ISBN-13: 9781108725835
ISBN-10: 110872583X
Edition: 2
Author: Sharon Lawner Weinberg, Sarah Knapp Abramowitz
Publication date: 2020
Publisher: Cambridge University Press
Format: Paperback 740 pages

Summary

Statistics Using Stata: An Integrative Approach (ISBN-13: 9781108725835 and ISBN-10: 110872583X), written by authors Sharon Lawner Weinberg, Sarah Knapp Abramowitz, was published by Cambridge University Press in 2020. With an overall rating of 4.2 stars, it's a notable title among other Mathematical & Statistical (Software) books. You can easily purchase or rent Statistics Using Stata: An Integrative Approach (Paperback) from BooksRun, along with many other new and used Mathematical & Statistical books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $3.38.

Description

Building upon the success of the first edition, Statistics Using Stata uses the latest version of Stata to meet the needs of today's students. Engaging and accessible for students from a variety of mathematical backgrounds, this textbook integrates statistical concepts with the Stata (version 16) software package. It aligns Stata commands with examples based on real data, enabling students to understand statistics in a way that reflects statistical practice. Capitalizing on Stata's a menu-driven 'point and click' and program syntax interface, the chapters guide students from the comfortable 'point and click' environment to the beginnings of statistical programming. Its coverage of essential topics gives instructors flexibility in curriculum planning and provides students with more advanced material to prepare for future work. Online resources - including solutions to exercises, PowerPoint slides, and Stata syntax (do-files) for each chapter - allow students to review independently and adapt code to analyze new problems.

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