Solutions Manual for Business Statistics 3e by Norean D. Sharpe 0133866912

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Product details:

• ISBN-10 ‏ : ‎ 9780321925831
• ISBN-13 ‏ : ‎ 978-0321925831
• Author: Richard D. De Veaux; Paul F. Velleman

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.

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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