Applied Statistics: Business and Management Research

Applied Statistics: Business and Management Research is a textbook that provides a user-friendly introduction to applied statistics and data analysis, featuring step-by-step explanations and examples from IBM® SPSS® Statistics. It is an essential resource for students and researchers in business and management, with online resources available via the companion website.

Format: Paperback / softback
Length: 456 pages
Publication date: 18 May 2022
Publisher: SAGE Publications Ltd

Applied Statistics: Business and Management Research offers a comprehensive and accessible introduction to the field of applied statistics and data analysis, designed specifically for non-mathematicians and free from unexplained technical jargon. This textbook serves as a valuable resource for students and researchers in the fields of business and management, providing step-by-step guidance on conducting successful quantitative research. Supported by examples from IBM® SPSS® Statistics, the textbook offers a practical understanding of statistical concepts and techniques. Additionally, a companion website offers a wealth of online resources, including a teaching guide, PowerPoint slides, and datasets, to enhance the learning experience for both students and lecturers.

Andrew R. Timming, Professor of Human Resource Management and Deputy Dean Research & Innovation in the School of Management at RMIT University, Australia, is the author of Applied Statistics: Business and Management Research. With his extensive expertise in the field, Professor Timming has authored numerous textbooks and research papers that have contributed to the understanding of applied statistics and its applications in business and management.

In Applied Statistics: Business and Management Research, Professor Timming presents the fundamental principles of applied statistics and data analysis in a clear and concise manner, making it accessible to a wide range of readers. The textbook begins with an overview of statistical concepts and methods, including descriptive statistics, probability theory, and hypothesis testing. It then delves into the practical application of these concepts in business and management research, covering topics such as customer behavior, market research, and decision-making.

Throughout the textbook, Professor Timming employs real-world examples and case studies from various industries to illustrate the practical implications of statistical analysis. These examples help students to connect the theoretical concepts with real-world situations and enhance their understanding of the importance of statistical research in business and management.

In addition to its comprehensive coverage of statistical concepts and methods, Applied Statistics: Business and Management Research also provides valuable insights into the research process. The textbook discusses the importance of research design, data collection techniques, and data analysis approaches, helping students to develop effective research strategies and ensure the quality of their research findings.

Furthermore, the textbook is accompanied by a companion website that offers a wealth of additional resources, including teaching guides. PowerPoint slides, datasets, and a teaching guide. These resources are designed to support lecturers in teaching applied statistics and data analysis, and they can also be used by students for self-study and revision purposes.

Overall, Applied Statistics: Business and Management Research is an essential textbook for students and researchers in the fields of business and management. Its user-friendly approach, comprehensive coverage of statistical concepts and methods, and practical examples make it an invaluable resource for anyone seeking to gain a deeper understanding of applied statistics and data analysis. Whether you are a novice in the field or an experienced researcher, this textbook will help you to achieve your academic and professional goals.

Weight: 884g
Dimension: 189 x 247 x 31 (mm)
ISBN-13: 9781473947450