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Test Bank for Business Statistics A First Course 3rd Edition by Norean Sharpe, Richard De Veaux, Paul Velleman ISBN 0134462084 9780134462080

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ISBN 10: 0134462084
ISBN 13: 9780134462080
Author: Norean Sharpe, Richard De Veaux, Paul Velleman

For one-semester courses in business statistics. This text offers a streamlined presentation of Business Statistics, Third Edition, by Sharpe, De Veaux, and Velleman.   Better Decisions. Better Results. 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.   Note: You are purchasing a standalone product; MyMathLab does not come packaged with this content. Students, if interested in purchasing this title with MyMathLab, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information.   If you would like to purchase boththe physical text and MyMathLab, search for: 0134462726 / 9780134462721           Business Statistics: A First Course Plus NEW MyStatLab with Pearson eText — Access Card Package Package consists of: 0134182448 / 9780134182445           Business Statistics: A First Course 032192147X / 9780321921475           MyStatLab for Business Statistics — Glue-In Access Card 0321929713 / 9780321929716           MyStatLab for Business Statistics Sticker  

Business Statistics A First Course 3rd Table of contents:

Preface

  • What’s New in This Edition?

  • Our Approach

  • Continuing Features

  • Resources for Success

Index of Applications

  • Accounting

  • Advertising

  • Agriculture

  • Banking

  • Business (General)

  • Company Names

  • Consumers

  • Demographics

  • Distribution and Operations Management

  • E-Commerce

  • Economics

  • Education

  • Energy

  • Environment

  • Ethics

  • Famous People

  • Finance and Investments

  • Food/Drink

  • Games

  • Government, Labor, and Law

  • Human Resource Management/Personnel

  • Insurance

  • Management

  • Manufacturing

  • Marketing

  • Media and Entertainment

  • Pharmaceuticals, Medicine, and Health

  • Politics and Popular Culture

  • Quality Control

  • Real Estate

  • Salary and Benefits

  • Sales and Retail

  • Science

  • Service Industries and Social Issues

  • Sports

  • Surveys and Opinion Polls

  • Technology

  • Transportation

Part I: Exploring and Collecting Data

Chapter 1: Data and Decisions

  • 1.1 What Are Data?

    • The Essence of Statistics

    • Question

  • 1.2 Variable Types

    • Identifiers

    • Other Data Types

    • Cross-Sectional and Time Series Data

    • Question

  • 1.3 Data Sources: Where, How, and When

    • Question

    • Just Checking

    • What Have We Learned?

    • Learning Objectives

    • Terms

    • Exercises

Chapter 2: Displaying and Describing Categorical Data

  • 2.1 Summarizing a Categorical Variable

    • Frequency Tables

    • Question

  • 2.2 Displaying a Categorical Variable

    • The Three Rules of Data Analysis

    • The Area Principle

    • Bar Charts

    • Pie Charts

    • Question

  • 2.3 Exploring Two Categorical Variables: Contingency Tables

    • Conditional Distributions

    • Question

    • Just Checking

  • 2.4 Segmented Bar Charts and Mosaic Plots

  • 2.5 Simpson’s Paradox

    • What Have We Learned?

    • Learning Objectives

    • Terms

    • Exercises

Chapter 3: Displaying and Describing Quantitative Data

  • 3.1 Displaying Quantitative Variables

    • Histograms

    • Question

    • Stem-and-Leaf Displays

    • How Stem-and-Leaf Displays Work

  • 3.2 Shape

    • Mode

    • Symmetry

    • Outliers

    • Using Your Judgment

    • Question

  • 3.3 Center

    • Question

  • 3.4 Spread of the Distribution

    • Question

    • Just Checking

  • 3.5 Shape, Center, and Spread—A Summary

    • Question

  • 3.6 Standardizing Variables

    • How Does Standardizing Work?

    • Question

  • 3.7 Five-Number Summary and Boxplots

    • Question

  • 3.8 Comparing Groups

    • Question

  • 3.9 Identifying Outliers

    • Question

  • 3.10 Time Series Plots

    • Question

  • 3.11 Transforming Skewed Data

    • Question

    • What Have We Learned?

    • Learning Objectives

    • Terms

    • Exercises

Chapter 4: Correlation and Linear Regression

  • 4.1 Looking at Scatterplots

    • Question

  • 4.2 Assigning Roles to Variables in Scatterplots

    • Question

  • 4.3 Understanding Correlation

    • Question

    • Correlation Conditions

    • Just Checking

    • Correlation Properties

    • Correlation Tables

  • 4.4 Lurking Variables and Causation

    • Question

  • 4.5 The Linear Model

    • Residuals

    • The Line of “Best Fit”

  • 4.6 Correlation and the Line

    • Just Checking

    • Question

    • Understanding Regression from Correlation

  • 4.7 Regression to the Mean

  • 4.8 Checking the Model

    • Question

  • 4.9 Variation in the Model and R2

    • Just Checking

    • How Big Should R2 Be?

    • Question

  • 4.10 Reality Check: Is the Regression Reasonable?

    • Nonlinear Relationships

    • Question

    • What Have We Learned?

    • Learning Objectives

    • Terms

    • Exercises

Part II: Modeling with Probability

Chapter 5: Randomness and Probability

  • 5.1 Random Phenomena and Probability

  • 5.2 The Nonexistent Law of Averages

    • Just Checking

  • 5.3 Different Types of Probability

    • Model-Based (Theoretical) Probability

    • Personal Probability

  • 5.4 Probability Rules

    • Question

    • Question

    • Question

    • Question

    • Just Checking

  • 5.5 Joint Probability and Contingency Tables

    • Question

  • 5.6 Conditional Probability

    • Independent vs. Disjoint

    • Question

  • 5.7 Constructing Contingency Tables

    • Just Checking

  • 5.8 Probability Trees

  • 5.9 Reversing the Conditioning: Bayes’ Rule

    • What Have We Learned?

    • Learning Objectives

    • Terms

    • Exercises

Chapter 6: Random Variables and Probability Models

  • 6.1 Expected Value of a Random Variable

    • Questions

  • 6.2 Standard Deviation of a Random Variable

    • Question

  • 6.3 Properties of Expected Values and Variances

    • Question

    • Just Checking

  • 6.4 Bernoulli Trials

  • 6.5 Discrete Probability Models

    • The Uniform Model

    • The Geometric Model

    • The Binomial Model

    • The Poisson Model

    • Just Checking

    • Questions

    • What Have We Learned?

    • Learning Objectives

    • Terms

    • Exercises

Chapter 7: The Normal and Other Continuous Distributions

  • 7.1 The Standard Deviation as a Ruler

    • The 68–95–99.7 Rule

    • Question

  • 7.2 The Normal Distribution

    • Just Checking

    • Finding Normal Percentiles

    • Question

    • Question

    • Just Checking

  • 7.3 Normal Probability Plots

    • Question

  • 7.4 The Distribution of Sums of Normals

  • 7.5 The Normal Approximation for the Binomial

  • 7.6 Other Continuous Random Variables

    • The Uniform Distribution

    • What Have We Learned?

    • Learning Objectives

    • Terms

    • Exercises

Chapter 8: Surveys and Sampling

  • 8.1 Three Ideas of Sampling

    • Idea 1: Sample—Examine a Part of the Whole

    • Idea 2: Randomize

    • Idea 3: The Sample Size Is What Matters

    • A Census—Does It Make Sense?

    • Questions

  • 8.2 Populations and Parameters

    • Just Checking

  • 8.3 Common Sampling Designs

    • Simple Random Sample (SRS)

    • Questions

    • Stratified Sampling

    • Cluster and Multistage Sampling

    • Questions

    • Systematic Samples

    • Just Checking

    • The Real Sample

  • 8.4 The Valid Survey

  • 8.5 How to Sample Badly

    • Voluntary Response Sample

    • Convenience Sampling

    • Bad Sampling Frame?

    • Undercoverage

    • Question

    • What Have We Learned?

    • Learning Objectives

    • Terms

    • Exercises

Part III: Inference for Decision Making

Chapter 9: Sampling Distributions and Confidence Intervals for Proportions

  • 9.1 The Distribution of Sample Proportions

  • 9.2 The Sampling Distribution for Proportions

    • Questions

    • Just Checking

    • How Good Is the Normal Model?

    • Questions

    • Assumptions and Conditions

    • Questions

  • 9.3 A Confidence Interval for a Proportion

    • What Can We Say about a Proportion?

    • Questions

    • What Does “95% Confidence” Really Mean?

    • Independence Assumption

    • Question

  • 9.4 Margin of Error: Certainty vs. Precision

    • Critical Values

    • Question

    • Just Checking

  • 9.5 Choosing the Sample Size

    • Questions

    • What Have We Learned?

    • Learning Objectives

    • Terms

    • Exercises

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Norean Sharpe,Richard De Veaux,Paul Velleman,Business Statistics,First Course