Introduction to Real World Statistics provides students with the basic concepts and practices of applied statistics, including data management and preparation; an introduction to the concept of probability; data screening and descriptive statistics; various inferential analysis techniques; and a series of exercises that are designed to integrate core statistical concepts. The author's systematic approach, which assumes no prior knowledge of the subject, equips student practitioners with a fundamental understanding of applied statistics that can be deployed across a wide variety of disciplines and professions.

Notable features include:

• short, digestible chapters that build and integrate statistical skills with real-world applications, demonstrating the flexible usage of statistics for evidence-based decision-making
• statistical procedures presented in a practical context with less emphasis on technical jargon
• early chapters that build a foundation before presenting statistical procedures
• SPSS step-by-step detailed instructions designed to reinforce student understanding
• real world exercises complete with answers
• chapter PowerPoints and test banks for instructors.