Instructor Resource Guide

Welcome to the Instructor's Resource Guide that accompanies Statistics: Informed Decisions Using Data. The world has changed quite a bit over the past decade and the introductory statistics course has evolved in response. The omnipresence of technology and data has allowed the course to change both in terms of approach to teaching and areas of emphasis. Whether you are new to teaching statistics or a veteran of the course, this resource guide will be a valuable tool in assisting you in developing lesson plans for your class.

I have created this guide to provide a variety of resources that you may utilize for each chapter. Each chapter guide begins with an overview of the material to be presented. I then provide a discussion of content that I believe should be emphasized and those topics that may be de-emphasized. These recommendations are often done at the section level. I also provide guidance about when by-hand computations may be included in the discussion and when they do not need to be stressed. Next, I present ideas for how to present material in a variety of classroom models, including traditional, flipped, online, and blended classrooms. Here, I remind you to utilize some of the many applets included in the text and activities included in the Student Activity Workbook. One of the challenges in developing course materials is identifying interesting examples that illustrate the concepts of the section. To assist you in this regard, I offer a variety of classroom examples for each section along with answers. These examples include both computational and conceptual problems that students should be exposed to.

I hope you find the resources included in this guide to be beneficial as you embark on teaching a very exciting and dynamic course.

Chapter 1 - Data Collection
Suggestions for discussing the material on data collection.
Chapters 2 & 3 - Tabular and Graphical Summaries of Data
Chapter 4 - Summarizing Bivariate Data
This chapter is in two parts. Part I covers summarizing bivariate quantitative data. That is, two quantitative variables are measured on each individual (Sections 4.1 thru 4.3). Part II covers summarizing bivariate qualitative data (Section 4.4). We also present Simpson's Paradox in this section.
Chapter 5 - Probability
Chapter 6 - Discrete Probability Distributions
Chapter 7 - The Normal Distribution
Chapter 8 - Sampling Distributions
Chapter 9 - Estimation
Chapter 10 - Hypothesis Testing
Chapter 11 - Inference on Two Population Parameters
Chapter 12 - Chi-Square Procedures
Chapter 13 - Comparing Three or More Means
Chapter 14 - Inference on Least-Squares Regression
Chapter 15 - Nonparametric Statistics