Introduction to Statistical Investigations

by Nathan Tintle

Introduction to Statistical Investigations, Second Edition provides a unified framework for explaining variation across study designs and variable types, helping students increase their statistical literacy and appreciate the indispensable role of statistics in scientific research. Requiring only basic algebra as a prerequisite, the program uses the immersive, simulation-based inference approach for which the author team is known. Students engage with various aspects of data collection and analysis using real data and clear explanations designed to strengthen multivariable understanding and reinforce concepts.Each chapter follows a coherent six-step statistical exploration and investigation method (ask a research question, design a study, explore the data, draw inferences, formulate conclusions, and look back and ahead) enabling students to assess a variety of concepts in a single assignment. Challenging questions based on research articles strengthen critical reading skills, fully worked examples demonstrate essential concepts and methods, and engaging visualizations illustrate key themes of explained variation. The end-of-chapter investigations expose students to various applications of statistics in the real world using real data from popular culture and published research studies in variety of disciplines. Accompanying examples throughout the text, user-friendly applets enable students to conduct the simulations and analyses covered in the book.

Paperback

First published October 12, 2015

Reviews

[Andy Scott · Rating 4 out of 5]

In this statistics textbook, the author focuses on the statistical method, repeatedly going through a series of six steps to analyze increasingly complex investigative questions. As a statistics teacher, I really appreciated the clear outline of the book, which I believe makes the statistical ideas clearer and easier to remember. Each section includes and explained example and an exploratory example (an example that students work through by answering a given series of questions interspersed with clarifications). This gives the instructor flexibility in their teaching approach.

The book stays away from calculations, which seems to be the trend in most introductory statistics courses, and uses online applets to help with calculations. As a result, the instructor can choose to incorporate other specific technologies (graphing calculator, Excel, Minicab, etc.) on their own, but the book simply explains how to use the online applets which are pretty easy to use in conjunction with the book.

While I haven't taught a class with this book yet, I am looking forward to getting my students involved in the investigations and having less lecture classes.