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.\n\nNotable features include:\n\nShort, digestible chapters that build and integrate statistical skills with real-world applications, demonstrating the flexible usage of statistics for evidence-based decision-making.\n\nStatistical procedures presented in a practical context with less emphasis on technical jargon.\n\nEarly chapters that build a foundation before presenting statistical procedures.\n\nSPSS step-by-step detailed instructions designed to reinforce student understanding.\n\nReal world exercises complete with answers.\n\nChapter PowerPoints and test banks for instructors.