Applied Statistics For Public And Nonprofit Administration(9th Edition)
Authors:
Kenneth J. Meier, Jeffrey L. Brudney, John Bohte
In Stock: 2 Left
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Total Price:
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Solution Manual Includes
Price:
$9.99
Book details
ISBN: 1285737237, 978-1285974521, 1285974522, 978-1285737232
Book publisher: Wadsworth P.H.
Book Price $0 : Applied Statistics for Public and Nonprofit Administration by Kenneth J. Meier, Jeffrey L. Brudney, and John Bohte is an essential resource for public administration professionals and students seeking to advance their understanding of statistical applications in real-world governance and nonprofit scenarios. Now in its 9th edition, this comprehensive guide bridges the gap between statistical theory and practice through relatable public policy examples. The book covers critical methodologies such as regression analysis, hypothesis testing, and variance analysis, providing readers with the statistical tools necessary for effective decision-making in public service roles. Additional features like a detailed solution manual and a comprehensive table of content make this textbook an invaluable resource for both self-study and instructional use. In terms of reception, the textbook is well-regarded for its practical approach and clarity, often utilized in academic settings for both undergraduate and graduate-level courses in public administration. The inclusion of an answer key allows practicing statisticians and students to independently verify their interpretation of complex data sets and statistical outcomes. The book is effectively designed to facilitate a deeper comprehension of data-driven policy formulation and evaluation, offering experiences that translate statistical learning into actionable public and nonprofit administration strategies. Overall, the book remains a pivotal reference point due to its scholarly content and the practical application of statistical methods tailored specifically for public sector needs. Through cheap packaging and accessible content, the book fosters inclusive learning opportunities.
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