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.