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Business Statistics, Student Value Edition, 3rd edition

  • Norean D. Sharpe
  • Richard D De Veaux
  • Paul F Velleman

Published by Pearson (February 21st 2014) - Copyright © 2015

3rd edition

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Business Statistics

ISBN-13: 9780321925831

Includes: Hardcover
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$202.66 $253.32

What's included

  • Hardcover

    You'll get a bound printed text.

Overview

  Business Statistics, Third Edition, by Sharpe, De Veaux, and Velleman, narrows the gap between theory and practice–relevant statistical methods empower business students to make effective, data-informed decisions. With their unique blend of teaching, consulting, and entrepreneurial experiences, this dynamic author team brings a modern edge to teaching statistics to business students. Focusing on statistics in the context of real business issues, with an emphasis on analysis and understanding over computation, the text helps students be analytical, prepares them to make better business decisions, and shows them how to effectively communicate results.

 

KEY TOPICS: Data and Decisions; Displaying and Describing Categorical Data; Displaying and Describing Quantitative Data; Correlation and Linear Regression; Randomness and Probability; Random Variables and Probability Models; The Normal and other Continuous Distributions; Surveys and Sampling; Sampling Distributions and Confidence Intervals for Proportions; Testing Hypotheses about Proportions; Confidence Intervals and Hypothesis Tests for Means; More About Tests and Intervals; Comparing Two Means; Inference for Counts: Chi-Square Tests; Inference for Regression; Understanding Residuals; Multiple Regression; Building Multiple Regression Models; Time Series Analysis; Design and Analysis of Experiments and Observational Studies; Quality Control; Nonparametric Methods; Decision Making and Risk; Introduction to Data Mining;

 

MARKET: For all readers interested in statistics for business.

Table of contents

Preface

Index of Applications

 

1. Data and Decisions (E-Commerce)

1.1 Data and Decisions

1.2 Variable Types

1.3 Data Sources: Where, How, and When

            Ethics in Action

            Technology Help: Data on the Computer

            Brief Case: Credit Card Bank

 

2. Displaying and Describing Categorical Data (Keen, Inc.)

2.1 Summarizing a Categorical Variable

2.2 Displaying a Categorical Variable 

2.3 Exploring Two Categorical Variables: Contingency Tables 

2.4 Segmented Bar Charts and Mosaic Plots 

2.5 Simpson's Paradox

            Ethics in Action

            Technology Help: Displaying Categorical Data on the Computer

            Brief Case: Credit Card Bank

 

3. Displaying and Describing Quantitative Data (AIG)

3.1 Displaying Quantitative Variables 

3.2 Shape 

3.3 Center 

3.4 Spread of the Distribution

3.5 Shape, Center, and Spread–A Summary

3.6 Standardizing Variables 

3.7 Five-Number Summary and Boxplots 

3.8 Comparing Groups,

3.9 Identifying Outliers,

3.10 Time Series Plots

3.11 Transforming Skewed Data

            Ethics in Action

            Technology Help: Displaying and Summarizing Quantitative Variables

            Brief Cases: Detecting the Housing Bubble and Socio-Economic Data on States

 

4. Correlation and Linear Regression (Amazon.com)

4.1 Looking at Scatterplots

4.2 Assigning Roles to Variables in Scatterplots

4.3 Understanding Correlation

4.4 Lurking Variables and Causation

4.5 The Linear Model

4.6 Correlation and the Line

4.7 Regression to the Mean

4.8 Checking the Model

4.9 Variation in the Model and R2

4.10 Reality Check: Is the Regression Reasonable?

4.11 Nonlinear Relationships

            Ethics in Action

            Technology Help: Correlation and Regression

            Brief Cases: Fuel Efficiency, Cost of Living, and Mutual Funds

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