Introduction to Statistics: An Applied Approach presents readers with a practical framework for understanding and applying statistical techniques in behavioral and social sciences. The book focuses on equipping readers with the foundational skills they need to apply statistical procedures to real-world scenarios and data.

In opening chapters, students learn the difference between descriptive and inferential statistics, and how to approach and understand samples, parameters, and population data. The book covers essential topics such as probability, measures of central tendency, hypothesis testing, ANOVA, linear regression, and nonparametric tests. It introduces students to concepts such as correlation coefficients, types of errors in hypothesis testing, and advanced statistical procedures like meta-analysis. Essential skills for data input and analysis using SPSS or Excel are also detailed throughout the text, reinforcing the applied nature of the content. Each chapter features objectives, key terms, critically thinking questions, and exercises to put theory into practice.

Introduction to Statistics is ideal for courses and programs in introductory statistics, research methods, and data analysis. It provides students with foundational knowledge while also preparing them for more complex statistical inquiries and more advanced studies.