Unparalleled in its readability and ease of comprehension, Stats: Data and Models, Third Canadian Edition, focuses on statistical thinking and data analysis. Written in an approachable style without sacrificing rigor, this text incorporates compelling examples derived from the authors’ wealth of teaching experience and encourages students to learn how to reason with data. Stats: Data and Models promotes conceptual understanding for applied statistics without overwhelming the reader with tedious calculations and complex mathematics. This Third Canadian Edition has been meticulously updated to include the most relevant and engaging Canadian examples and data.
KEY TOPICS:
Stats Starts Here;Displaying and Describing Categorical Data;Displaying and Summarizing Quantitative Data;Understanding and Comparing Distributions;The Standard Deviation as a Ruler and the Normal Model;Review: Exploring and Understanding Data;Scatterplots, Association, and Correlation;Linear Regression;Regression Wisdom;Review Exploring Relationships Between Variables;Sample Surveys;Experiments and Observational Studies;Review: Gathering Data;From Randomness to Probability;Probability Rules!;Random Variables;Review: Randomness and Probability;Sampling Distribution Models;Confidence Intervals for Proportions;Testing Hypotheses About Proportions;More About Tests;Inferences About Means;Review: From the Data at Hand to the World at Large; Comparing Means;Paired Samples and Blocks;Comparing Two Proportions;Comparing Counts;Inferences for Regression;Review: Assessing Associations Between Variables; Analysis of Variance;Multifactor Analysis of Variance;Multiple Regression;Multiple Regression Wisdom;Review Inference When Variables Are Related;Nonparametric Tests;The Bootstrap (online only)
MARKET:
Appropriate for Introductory Statistics-Algebra-Based Courses.
About the Canadian Authors
Augustin M. Vukov has been teaching at the University of Toronto for several decades. For much of that time, he was the course coordinator for The Practice of Statistics―a large multi-section course designed to introduce the basic concepts and practice of Statistical Science to students from a great variety of (mostly non-mathematical) disciplines. Having taught so many students their required Stats course, he was not surprised to hear his new family doctor, his new ophthalmologist and a prospective new dentist say “Your name looks familiar. Ah yes, I used to sit in your Statistics lecture!”. A big fan of MinitabTM software for use in introductory Statistics courses, he has also authored several Minitab manuals.
Augustine C.M. Wong is a professor of Statistics at York University. He completed his Ph.D. at the University of Toronto in 1990 and taught at the University of Waterloo and University of Alberta before coming to York in 1993. His research interests include asymptotic inference, computational methods in statistics, and likelihood-based methods. He is an author or co-author of over 80 research articles and 2 book chapters. At York, he teaches various statistics courses at both the undergraduate and graduate levels.
