Microsoft® Excel® 2010: Data Analysis and Business Modeling

Microsoft® Excel® 2010: Data Analysis and Business Modeling

by Wayne L. Winston
Released January 2011
Publisher(s): Microsoft Press
ISBN: 9780735656864

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Book description

Master the business modeling and analysis techniques that help you transform data into bottom-line results. For more than a decade, Wayne Winston has been teaching corporate clients and MBA students the most effective ways to use Excel to solve business problems and make better decisions. Now this award-winning educator shares the best of his expertise in this hands-on, scenario-focused guide—fully updated for Excel 2010!

Use Excel to solve real business problems—and sharpen your edge!

  • Model investment risks and returns

  • Analyze your sales team’s effectiveness

  • Create best, worst, and most-likely case scenarios

  • Compare lease vs. buy, and calculate loan terms

  • See how price, advertising, and seasonality affect sales

  • Manage inventory with precision

  • Quantify the value of customer loyalty

  • Calculate your break-even number and ROI

  • Maximize scheduling efficiency

  • Express “home-field advantage” in real numbers

  • Project company growth, predict election results, and more!

  • Plus—introduce yourself to PowerPivot for Excel

    • Your companion web content includes:

  • Downloadable eBook

  • Hundreds of scenario-based practice problems

  • All the book’s sample files—plus customizable templates

    •

    Table of contents

    1. Microsoft® Excel® 2010: Data Analysis and Business Modeling
    2. Introduction
      1. What You Should Know Before Reading This Book
      2. How to Use This Book
      3. Using the Companion Content
      4. Your Companion eBook
      5. Errata and Book Support
      6. We Want to Hear from You
      7. Stay in Touch
      8. Acknowledgments
    3. 1. What’s New in Excel 2010
      1. Customizable Ribbon
        1. Don’t Forget About the Quick Access Toolbar
      2. Sparklines
      3. Slicers
      4. PowerPivot
      5. New Excel Solver
      6. File Tab
      7. New Excel Functions
      8. New Equation Editor
      9. Improved Data Bars
      10. Paste Special Live Preview
    4. 2. Range Names
      1. How Can I Create Named Ranges?
        1. Using the Name Box to Create a Range Name
        2. Creating Named Ranges by Using the Create From Selection Option
        3. Creating Range Names by Using the Name Manager Option
        4. The Name Manager
      2. Answers to This Chapter’s Questions
        1. Remarks
      3. Problems
    5. 3. Lookup Functions
      1. Syntax of the Lookup Functions
        1. VLOOKUP Syntax
        2. HLOOKUP Syntax
      2. Answers to This Chapter’s Questions
      3. Problems
    6. 4. The INDEX Function
      1. Syntax of the INDEX Function
      2. Answers to This Chapter’s Questions
      3. Problems
    7. 5. The MATCH Function
      1. Answers to This Chapter’s Questions
      2. Problems
    8. 6. Text Functions
      1. Text Function Syntax
        1. The LEFT Function
        2. The RIGHT Function
        3. The MID Function
        4. The TRIM Function
        5. The LEN Function
        6. The FIND and SEARCH Functions
        7. The REPT Function
        8. The CONCATENATE and & Functions
        9. The REPLACE Function
        10. The VALUE Function
        11. The UPPER and LOWER Functions
        12. The CHAR Function
      2. Answers to This Chapter’s Questions
        1. Extracting Data by Using the Text To Columns Wizard
      3. Problems
    9. 7. Dates and Date Functions
      1. Answers to This Chapter’s Questions
      2. Problems
    10. 8. Evaluating Investments by Using Net Present Value Criteria
      1. Answers to This Chapter’s Questions
      2. Problems
    11. 9. Internal Rate of Return
      1. Answers to This Chapter’s Questions
      2. Problems
    12. 10. More Excel Financial Functions
      1. Answers to This Chapter’s Questions
        1. CUMPRINC and CUMIPMT Functions
      2. Problems
    13. 11. Circular References
      1. Answers to This Chapter’s Questions
      2. Problems
    14. 12. IF Statements
      1. Answers to This Chapter’s Questions
      2. Problems
    15. 13. Time and Time Functions
      1. Answers to This Chapter’s Questions
      2. Problems
    16. 14. The Paste Special Command
      1. Answers to This Chapter’s Questions
      2. Problems
    17. 15. Three-Dimensional Formulas
      1. Answers to This Chapter’s Questions
        1. Problems
    18. 16. The Auditing Tool
      1. Answers to This Chapter’s Questions
      2. Problems
    19. 17. Sensitivity Analysis with Data Tables
      1. Answers to This Chapter’s Questions
      2. Problems
    20. 18. The Goal Seek Command
      1. Answers to This Chapter’s Questions
      2. Problems
    21. 19. Using the Scenario Manager for Sensitivity Analysis
      1. Answer to This Chapter’s Question
        1. Remarks
      2. Problems
    22. 20. The COUNTIF, COUNTIFS, COUNT, COUNTA, and COUNTBLANK Functions
      1. Answers to This Chapter’s Questions
        1. Remarks
      2. Problems
    23. 21. The SUMIF, AVERAGEIF, SUMIFS, and AVERAGEIFS Functions
      1. Answers to This Chapter’s Questions
      2. Problems
    24. 22. The OFFSET Function
      1. Answers to This Chapter’s Questions
        1. Remarks
      2. Problems
    25. 23. The INDIRECT Function
      1. Answers to This Chapter’s Questions
      2. Problems
    26. 24. Conditional Formatting
      1. Answers to This Chapter’s Questions
        1. What does the Stop If True option in the Manage Rules dialog box do?
      2. Problems
    27. 25. Sorting in Excel
      1. Answers to This Chapter’s Questions
      2. Problems
    28. 26. Tables
      1. Answers to This Chapter’s Questions
      2. Problems
    29. 27. Spin Buttons, Scroll Bars, Option Buttons, Check Boxes, Combo Boxes, and Group List Boxes
      1. Answers to This Chapter’s Questions
      2. Problems
    30. 28. An Introduction to Optimization with Excel Solver
      1. Problems
    31. 29. Using Solver to Determine the Optimal Product Mix
      1. Answers to This Chapter’s Questions
      2. Problems
    32. 30. Using Solver to Schedule Your Workforce
      1. Answers to This Chapter’s Question
      2. Problems
    33. 31. Using Solver to Solve Transportation or Distribution Problems
      1. Answer to This Chapter’s Question
      2. Problems
    34. 32. Using Solver for Capital Budgeting
      1. Answer to This Chapter’s Question
        1. Handling Other Constraints
        2. Solving Binary and Integer Programming Problems
      2. Problems
    35. 33. Using Solver for Financial Planning
      1. Answers to This Chapter’s Questions
      2. Problems
    36. 34. Using Solver to Rate Sports Teams
      1. Answer to This Chapter’s Question
      2. Problems
    37. 35. Warehouse Location and the GRG Multistart and Evolutionary Solver Engines
      1. Understanding the GRG Multistart and Evolutionary Solver Engines
        1. How Does Solver Solve Linear Solver Problems?
        2. How Does the GRG Nonlinear Engine Solve Nonlinear Optimization Models?
        3. How Does the Evolutionary Solver Engine Tackle Nonsmooth Optimization Problems?
      2. Answer to This Chapter’s Questions
      3. Problems
    38. 36. Penalties and the Evolutionary Solver
      1. Answers to This Chapter’s Questions
        1. Using Conditional Formatting to Highlight Each Employee’s Ratings
      2. Problems
    39. 37. The Traveling Salesperson Problem
      1. Answers to This Chapter’s Questions
      2. Problems
    40. 38. Importing Data from a Text File or Document
      1. Answers to This Chapter’s Question
      2. Problems
    41. 39. Importing Data from the Internet
      1. Answers to This Chapter’s Questions
      2. Problems
    42. 40. Validating Data
      1. Answers to This Chapter’s Questions
        1. Remarks
      2. Problems
    43. 41. Summarizing Data by Using Histograms
      1. Answers to This Chapter’s Questions
      2. Problems
    44. 42. Summarizing Data by Using Descriptive Statistics
      1. Answers to This Chapter’s Questions
        1. Using Conditional Formatting to Highlight Outliers
      2. Problems
    45. 43. Using PivotTables and Slicers to Describe Data
      1. Answers to This Chapter’s Questions
        1. Remarks About Grouping
      2. Problems
    46. 44. Sparklines
      1. Answers to This Chapter’s Questions
      2. Problems
    47. 45. Summarizing Data with Database Statistical Functions
      1. Answers to This Chapter’s Questions
      2. Problems
    48. 46. Filtering Data and Removing Duplicates
      1. Answers to This Chapter’s Questions
      2. Problems
    49. 47. Consolidating Data
      1. Answer to This Chapter’s Question
      2. Problems
    50. 48. Creating Subtotals
      1. Answers to This Chapter’s Questions
      2. Problems
    51. 49. Estimating Straight Line Relationships
      1. Answers to This Chapter’s Questions
      2. Problems
    52. 50. Modeling Exponential Growth
      1. Answers to This Chapter’s Question
      2. Problems
    53. 51. The Power Curve
      1. Answer to This Chapter’s Question
      2. Problems
    54. 52. Using Correlations to Summarize Relationships
      1. Answer to This Chapter’s Question
        1. Filling In the Correlation Matrix
        2. Using the CORREL Function
        3. Relationship Between Correlation and R2
        4. Correlation and Regression Toward the Mean
      2. Problems
    55. 53. Introduction to Multiple Regression
      1. Answers to This Chapter’s Questions
    56. 54. Incorporating Qualitative Factors into Multiple Regression
      1. Answers to This Chapter’s Questions
    57. 55. Modeling Nonlinearities and Interactions
      1. Answers to This Chapter’s Questions
      2. Problems for Chapter 53 Through
    58. 56. Analysis of Variance: One-Way ANOVA
      1. Answers to This Chapter’s Questions
      2. Problems
    59. 57. Randomized Blocks and Two-Way ANOVA
      1. Answers to This Chapter’s Questions
      2. Problems
    60. 58. Using Moving Averages to Understand Time Series
      1. Answers to This Chapter’s Question
      2. Problem
    61. 59. Winters’s Method
      1. Time Series Characteristics
      2. Parameter Definitions
      3. Initializing Winters’s Method
        1. Step 1
        2. Step 2
        3. Step 3
      4. Estimating the Smoothing Constants
        1. Step 1
        2. Step 2
        3. Step 3
        4. Step 4
        5. Step 5
        6. Step 6
        7. Step 7
        8. Step 8
      5. Remarks
      6. Problems
    62. 60. Ratio-to-Moving-Average Forecast Method
      1. Answers to This Chapter’s Questions
      2. Problem
    63. 61. Forecasting in the Presence of Special Events
      1. Answers to This Chapter’s Questions
      2. Problems
    64. 62. An Introduction to Random Variables
      1. Answers to This Chapter’s Questions
      2. Problems
    65. 63. The Binomial, Hypergeometric, and Negative Binomial Random Variables
      1. Answers to This Chapter’s Questions
      2. Problems
    66. 64. The Poisson and Exponential Random Variable
      1. Answers to This Chapter’s Questions
      2. Problems
    67. 65. The Normal Random Variable
      1. Answers to This Chapter’s Questions
      2. Problems
    68. 66. Weibull and Beta Distributions: Modeling Machine Life and Duration of a Project
      1. Answers to This Chapter’s Questions
      2. Problems
    69. 67. Making Probability Statements from Forecasts
      1. Answers to This Chapter’s Questions
      2. Problems
    70. 68. Using the Lognormal Random Variable to Model Stock Prices
      1. Answers to This Chapter’s Questions
        1. Remarks
      2. Problems
    71. 69. Introduction to Monte Carlo Simulation
      1. Answers to This Chapter’s Questions
        1. The Impact of Risk on Our Decision
        2. Confidence Interval for Mean Profit
      2. Problems
    72. 70. Calculating an Optimal Bid
      1. Answers to This Chapter’s Questions
      2. Problems
    73. 71. Simulating Stock Prices and Asset Allocation Modeling
      1. Answers to This Chapter’s Questions
      2. Problems
    74. 72. Fun and Games: Simulating Gambling and Sporting Event Probabilities
      1. Answers to This Chapter’s Questions
      2. Problems
    75. 73. Using Resampling to Analyze Data
      1. Answer to This Chapter’s Question
      2. Problems
    76. 74. Pricing Stock Options
      1. Answers to This Chapter’s Questions
      2. Problems
    77. 75. Determining Customer Value
      1. Answers to This Chapter’s Questions
      2. Problems
    78. 76. The Economic Order Quantity Inventory Model
      1. Answers to This Chapter’s Questions
      2. Problems
    79. 77. Inventory Modeling with Uncertain Demand
      1. Answers to This Chapter’s Questions
        1. The Back-Order Case
        2. The Lost-Sales Case
      2. Problems
    80. 78. Queuing Theory: The Mathematics of Waiting in Line
      1. Answers to This Chapter’s Questions
      2. Problems
    81. 79. Estimating a Demand Curve
      1. Answers to This Chapter’s Questions
      2. Problems
    82. 80. Pricing Products by Using Tie-Ins
      1. Answer to This Chapter’s Question
      2. Problems
    83. 81. Pricing Products by Using Subjectively Determined Demand
      1. Answer to This Chapter’s Questions
      2. Problems
    84. 82. Nonlinear Pricing
      1. Answers to This Chapter’s Questions
      2. Problems
    85. 83. Array Formulas and Functions
      1. Answers to This Chapter’s Questions
        1. How many units of makeup did Jen sell?
        2. How many units of lipstick did Jen sell?
        3. Can I summarize the number of units of each product sold by each salesperson?
      2. Problems
    86. 84. PowerPivot
      1. Answers to This Chapter’s Questions
        1. Problem
    87. A. About the Author
    88. Index
    89. About the Author
    90. Copyright

    Product information

    • Title: Microsoft® Excel® 2010: Data Analysis and Business Modeling
    • Author(s): Wayne L. Winston
    • Release date: January 2011
    • Publisher(s): Microsoft Press
    • ISBN: 9780735656864