Business Statistics, Fourth Canadian Edition, Loose Leaf Version Plus MyLab Statistics with Pearson eText -- Access Card Package, 4th edition

  • Norean R. Sharpe
  • Richard D. De Veaux
  • Paul F. Velleman
  • David Wright
  • David Wright

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Overview

The question that motivates a business student’s study of Statistics is “How can I make better decisions?” As entrepreneurs and consultants, we know that in today’s data-rich environment, knowledge of Statistics is essential to survive and thrive in the business world. But, as educators, we’ve seen a disconnect between the way Business Statistics is traditionally taught and the way it should be used in making business decisions. In Business Statistics, we try to narrow the gap between theory and practice by presenting relevant statistical methods that will empower business students to make effective, data-informed decisions.


Statistics is practised with technology. This insight informs everything, from our choice of forms for equations (favouring intuitive forms over calculation forms) to our extensive use of real data. But most important, understanding the value of technology allows us to focus on teaching statistical thinking rather than just calculation. The questions that motivate each of our hundreds of examples are geared not to the question “How do you find the answer?” but rather to the question “Does your data satisfy the necessary assumptions and how do you apply the result to a business situation?” This focus on statistical thinking ties the chapters of the book together.


Personalize Learning with Pearson MyLab Statistics

MyLab Statistics is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them better absorb course material and understand difficult concepts.

Table of contents

Part I EXPLORING AND COLLECTING DATA

Chapter 1 An Introduction to Statistics

Chapter 2 Data

Chapter 3 Surveys and Sampling

Chapter 4 Displaying and Describing Categorical Data

Chapter 5 Displaying and Describing Quantitative Data

Chapter 6 Scatterplots, Association, and Correlation

Chapter 7 Introduction to Linear Regression

 

Part 2 UNDERSTANDING PROBABILITY DISTRIBUTIONS

Chapter 8 Randomness and Probability

Chapter 9 Random Variables and Probability Distributions

Chapter 10 Sampling Distributions

Chapter 11 Confidence Intervals for Proportions

Chapter 12 Testing Hypotheses About Proportions

Chapter 13 Confidence Intervals and Hypothesis Tests for Means

Chapter 14 Comparing Two Means

Chapter 15 Design of Experiments and Analysis of Variance (ANOVA)

Chapter 16 Inference for Counts: Chi-Square Tests

Chapter 17 Nonparametric Methods

 

Part 3 EXPLORING RELATIONSHIPS AMONG VARIABLES

Chapter 18 Inference for Regression

Chapter 19 Understanding Regression Residuals

Chapter 20 Multiple Regression

Chapter 21 Building Multiple Regression Models

 

Part 4 USING STATISTICS FOR DECISION MAKING

Chapter 22 Time Series Analysis

Chapter 23 Decision Making and Risk

Chapter 24 Quality Control

Chapter 25 Introduction to Data Mining (Online)

Published by Pearson Canada (March 24th 2020) - Copyright © 2021