An Introduction To Applied Statistics
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Introduction to Applied Statistics
Author: James K. Lindsey
language: en
Publisher: Oxford University Press on Demand
Release Date: 2004
This text is aimed at students in medicine, biology and the social sciences as well as those planning to specialize in applied statistics. It covers the basics of the design and analysis of surveys and experiments and provides an understanding of the basic principles of modeling and inference. Practical advice is provided on how to design a study, collect data, record observations accurately, detect errors, construct appropriate models, and interpret the results. The text contains many illustrative examples and exercises relating statistical principles to research. A companion web site is available with links to data sets, R codes, and an instructor's manual with teaching hints and solutions.
An Introduction to Applied Statistics
Author: Edward T. Vieira, Jr.
language: en
Publisher: Taylor & Francis
Release Date: 2025-06-09
An Introduction to Applied Statistics offers a comprehensive and accessible foundation in applied statistics, empowering students with the essential concepts and practical skills necessary for data-driven decision-making in today's world. Thoroughly covering key topics – including data management, probability fundamentals, data screening, descriptive statistics, and a broad spectrum of inferential analysis techniques – this indispensable guide demystifies statistical concepts and equips students to confidently apply statistical analysis in real-world contexts. With a systematic, beginner-friendly approach, the author assumes no prior knowledge, making complex statistical foundations accessible to students from a variety of disciplines. Concise, digestible chapters build statistical competencies within a practical, evidence-based framework, minimizing technical jargon to facilitate comprehension. Now in its latest edition, the book is fully updated with SPSS v29.0 instructions and screenshots, ensuring compatibility with the most recent software developments. It also includes expanded content on addressing nonrandom sampling issues, such as case weighting, and delves into advanced topics like factor analysis, logistic regression, cluster analysis, and discriminant analysis, catering to the evolving needs of students and professionals alike. An invaluable resource for introductory quantitative research methods courses in psychology, social sciences, business, and marketing, this text combines practical examples, online resources, and an approachable format to support both learning and application. Key Features: Concise chapters integrating real-world applications: Seamlessly blends statistical skills with practical scenarios, illustrating the flexible use of statistics in evidence-based decision-making. Accessible presentation: Offers practical explanations of statistical procedures with minimal technical jargon, enhancing understanding and retention. Foundational preparation: Early chapters are designed to equip students for advanced statistical procedures, building a strong foundational knowledge. Step-by-step SPSS instructions: Provides detailed SPSS v29.0 guidance with screenshots to reinforce comprehension and hands-on skills. Real-world exercises with answers: Includes practical exercises complete with solutions to facilitate active learning and application. Comprehensive instructor resources: Offers extensive teaching support with chapter PowerPoints and test banks to enhance the educational experience.
Applied Statistics in Agricultural, Biological, and Environmental Sciences
Better experimental design and statistical analysis make for more robust science. A thorough understanding of modern statistical methods can mean the difference between discovering and missing crucial results and conclusions in your research, and can shape the course of your entire research career. With Applied Statistics, Barry Glaz and Kathleen M. Yeater have worked with a team of expert authors to create a comprehensive text for graduate students and practicing scientists in the agricultural, biological, and environmental sciences. The contributors cover fundamental concepts and methodologies of experimental design and analysis, and also delve into advanced statistical topics, all explored by analyzing real agronomic data with practical and creative approaches using available software tools. IN PRESS! This book is being published according to the “Just Published” model, with more chapters to be published online as they are completed.