Business Statistics, Third Canadian Edition

Hardcover | January 2, 2017

byNorean D. Sharpe, Richard D. De Veaux, Paul D. Velleman

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Sharpe/De Veaux/Velleman/Wright,  Business Statistics , third Canadian Edition, demonstrates the how and why statistics matter for better business decisions.


Conceptual and applied, with emphasis on analyzing and interpreting Canadian data to make informed business decisions. The book draws students in using a conversational writing style and delivers content with a fresh, exciting approach that reflects the authors’ blend of teaching, consulting, and entrepreneurial experiences.


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0133899128 / 9780133899122 Business Statistics, Third Canadian Edition

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From the Publisher

Sharpe/De Veaux/Velleman/Wright,  Business Statistics , third Canadian Edition, demonstrates the how and why statistics matter for better business decisions. Conceptual and applied, with emphasis on analyzing and interpreting Canadian data to make informed business decisions. The book draws students in using a conversational writin...

Norean Radke Sharpe (Ph.D. University of Virginia) has developed an international reputation as an educator, administrator, and consultant on assessment and accreditation. She is currently a professor at the McDonough School of Business at Georgetown University, where she is also Senior Associate Dean and Director of Undergraduate Pro...
Format:HardcoverDimensions:1040 pages, 9.41 × 7.24 × 0.98 inPublished:January 2, 2017Publisher:Pearson EducationLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0133899128

ISBN - 13:9780133899122

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Extra Content

Table of Contents

Part I Exploring and Collecting Data

Chapter 1 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 I Closing Case (online)


Part II Understanding Probability Distributions and Statistical Inference

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 II Closing Case (online)


Part III 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 III Closing Case (online)


Part IV Using Statistics for Decision Making

Chapter 22 Time Series Analysis

Chapter 23 Decision Making and Risk

Chapter 24 Quality Control

Chapter 25 (Online) Introduction to Data Mining

Appendix A: Answer Key

Appendix B: Statistical Tables, Formulas, and Excel/XLStat

Appendix C: Ethical Guidelines for Statistical Practice