Introduction to Applied Statistics
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.
Edward T. Vieira, Jr., a professor of marketing and statistics at Simmons University's School of Management for over two decades, brings a wealth of experience as both an academic and a former marketing and business consultant to multinational corporations across North America and Europe. His extensive body of work includes numerous books, book chapters, and articles published in peer-reviewed journals and presented at international conferences.