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Applied Statistics
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Applied Statistics
Business and Management Research

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June 2022 | 456 pages | SAGE Publications Ltd
Written for the non-mathematician and free of unexplained technical jargon, Applied Statistics: Business and Management Research provides a user-friendly introduction to the field of applied statistics and data analysis.

Featuring step-by-step explanations of how to carry out successful quantitative research, and supported by examples from IBM® SPSS® Statistics, this textbook is an essential resource for students and researchers of business and management.

A range of online resources for both students and lecturers, including a teaching guide, PowerPoint slides and datasets, are available via the companion website. 

Andrew R. Timming is Professor of Human Resource Management and Deputy Dean Research & Innovation in the School of Management at RMIT University, Australia.

 
Part I: Foundations
 
Chapter 1: Introduction to Statistics
 
Chapter 2: Exploring IBM SPSS
 
Chapter 3: Descriptive Statistics and Graphical Representations
 
Chapter 4: The Principle of Statistical Inference
 
Part II: Comparing Means
 
Chapter 5: The T-Test
 
Chapter 6: Analysis of Variance
 
Part III: Non-Parametric and Correlational Relationships
 
Chapter 7: Chi-Square
 
Chapter 8: Simple Regression and Pearson’s r
 
Part IV: Multivariate Modeling
 
Chapter 9: Multiple Regression
 
Chapter 10: Logistic Regression
 
Chapter 11: Exploratory and Confirmatory Factor Analyses
 
Chapter 12: Structural Equation Modeling

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