Essential Statistics for Public Managers and Policy Analysts pdf epub mobi txt 电子书下载 2026

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出版者:Cq Pr

作者:Berman, Evan M.

出品人:

页数:336

译者:

出版时间:2006-10

价格:$ 82.43

装帧:Pap

isbn号码:9780872893016

丛书系列:

图书标签:

教材
学习
Statistics
Public Administration
Policy Analysis
Data Analysis
Quantitative Methods
Research Methods
Government
Management
Social Science
Applied Statistics

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具体描述

With clear and straightforward instruction, a companion workbook, and an unbeatable price, "Essential Statistics" affords maximum flexibility for students and instructors. Brief chapters hone in on core concepts and tools, allowing students to start working with data on the computer from the very start. Learning objectives and key term lists frame chapters while a wealth of graphics - tables, figures, and boxes - visually help explain statistical techniques and enhance skill acquisition. In answering to helpful feedback from adopters, this second edition touts important improvements: a simplified organization - moving from 8 to 16 chapters - separates out statistical techniques making it easier for instructors to assign text materials throughout a semester and for students to master one skill at a time. Added examples and detail - from scenarios public managers and policy analysts are likely to encounter on the job - offer application of each technique in practice. Further explanation of research methods, now more than four chapters, offers students a great refresher or lays needed groundwork. New getting started boxes prompt students to ask themselves questions along the way that promote application and reinforce basic skills. This title includes expanded coverage of crosstabs, logistic regression, and time series analysis, as well as reference to important new scholarship and enhanced discussion of research ethics and data sources. SPSS was acquired by IBM in October 2009.

这本书主要面向公务管理人员以及政策分析师，旨在为他们提供一个全面且系统的知识框架，以帮助更好地理解和应用统计概念。内容深入浅出，覆盖了数据分析、描述性统计以及推断性统计等核心主题。读者将能够通过详细的章节探索各种统计方法的适用场景，并掌握如何从复杂的数据中提取有价值的信息。书中不仅注重理论知识的传授，还强调实际操作技能的培养，帮助读者在真实情境中运用统计工具解决问题。内容结构清晰，每个章节都配有具体案例和实用技巧，使学习过程更为直观与高效。书籍采用通俗易懂的语言，避免了专业术语过多的使用，同时通过丰富的图表与实例帮助读者更好地理解复杂概念。这种方式不仅提升了阅读体验，也增强了统计思维在实际工作中的应用能力。整体而言，这本书为读者打开了一扇了解数据、分析决策的窗口，尤其适合希望系统提升统计素养的人士。内容涵盖了从基础到高级的各类统计方法，包括均值、中位数、标准差等描述性指标的计算与解释，以及如何运用这些指标来总结和评估数据。书中还详细介绍了假设检验、回归分析以及时间序列分析等重要技术，帮助读者在不同情境下做出科学合理的判断。特别值得一提的是，这部分内容注重理论与实践的结合，使读者能够更灵活地应对复杂数据分析任务。此外，书籍还强调了统计软件使用的实际操作技能，引导读者熟悉常见工具如SPSS、R语言等，掌握其功能并进行真实项目中的应用。通过这些详细且全面的内容，这本书不仅为读者提供了坚实的理论基础，更为他们在职业生涯中积累实战经验打下了良好基石。总体来说，图书的设计思路清晰、内容丰富，注重用户从零知识到高级应用的一站式学习与提升，是一款适用于专业人士和初学者的优秀参考资料。读者通过阅读这本书，将能更好地应对日益复杂的统计需求，为自身职业发展增添坚实支持。