This is completed downloadable of Business Statistics 3rd Edition Sharpe Solutions Manual
Product Details:
- ISBN-10 : 0134182448
- ISBN-13 : 978-0134182445
- Author:
Business Statistics: A First Course, 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 think analytically, prepares them to make better business decisions, and shows them how to effectively communicate results.
Table of Content:
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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