Microsoft Office Excel 2007: Data Analysis and Business Modeling


Master the analysis and business modeling techniques that help you transform your data into bottom-line results. Award-winning business professor and corporate consultant Wayne Winston shares the best of his real-world experience in this practical guide—now updated for Excel 2007. Use Wayne’s proven practices and hands-on exercises to help you work smarter, make better ...

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Master the analysis and business modeling techniques that help you transform your data into bottom-line results. Award-winning business professor and corporate consultant Wayne Winston shares the best of his real-world experience in this practical guide—now updated for Excel 2007. Use Wayne’s proven practices and hands-on exercises to help you work smarter, make better decisions, and gain the competitive edge.

Solve real-world business problems with Excel 2007!

  • Maximize profits—determine NPV, optimize your product mix, calculate ROI
  • Create best, worst, and most-likely case scenarios for sales
  • Analyze investment performance and help minimize risk
  • Track your personal finances, calculate loan terms, and plan for retirement
  • Use trend and seasonality to forecast revenue
  • Estimate a product’s demand curve and manage inventory with precision Interpret the effects of price and advertising on sales
  • Assign a dollar value to customer loyalty
  • Solve work scheduling problems and shorten wait times for customer service queues
  • PLUS—predict outcomes of sporting events, presidential elections, and more!

CD Includes:

  • Sample files from each chapter
  • Problem-and-solution sets—build your expertise!
  • Fully searchable eBook

A Note Regarding the CD or DVD

The print version of this book ships with a CD or DVD. For those customers purchasing one of the digital formats in which this book is available, we are pleased to offer the CD/DVD content as a free download via OReilly Medias Digital Distribution services. To download this content, please visit OReillys web site, search for the title of this book to find its catalog page, and click on the link below the cover image (Examples, Companion Content, or Practice Files). Note that while we provide as much of the media content as we are able via free download, we are sometimes limited by licensing restrictions. Please direct any questions or concerns to

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Product Details

  • ISBN-13: 9780735623965
  • Publisher: Microsoft Press
  • Publication date: 5/30/2007
  • Series: Business Skills Series
  • Edition description: Second Edition
  • Edition number: 1
  • Pages: 624
  • Product dimensions: 7.38 (w) x 9.00 (h) x 1.44 (d)

Meet the Author

Wayne L. Winston is a professor of Decision Sciences at Indiana University's Kelley School of Business and has earned numerous MBA teaching awards. For 20+ years, he has taught clients at Fortune 500 companies how to use Excel to make smarter business decisions. Wayne and his business partner Jeff Sagarin developed the player-statistics tracking and rating system used by the Dallas Mavericks professional basketball team. He is also a two time Jeopardy! champion.

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Table of Contents

What You Should Know Before Reading this Book;
How to Use this Book;
Using the Companion CD;
Support Information;
Introduction to Excel 2007: What’s New?;
Chapter 1: Range Names;
1.1 How Can I Create Named Ranges?;
1.2 Remarks;
1.3 Problems;
Chapter 2: Lookup Functions;
2.1 Syntax of the Lookup Functions;
2.2 Problems;
Chapter 3: The INDEX Function;
3.1 Syntax of the INDEX Function;
3.2 Problems;
Chapter 4: The MATCH Function;
4.1 Problems;
Chapter 5: Text Functions;
5.1 Text Function Syntax;
5.2 Text Functions in Action;
5.3 Extracting Data by Using the Text To Columns Wizard;
5.4 Problems;
Chapter 6: Dates and Date Functions;
6.1 Problems;
Chapter 7: Evaluating Investments by Using Net Present Value Criteria;
7.1 Problems;
Chapter 8: Internal Rate of Return;
8.1 Problems;
Chapter 9: More Excel Financial Functions;
9.1 CUMPRINC and CUMIPMT Functions;
9.2 Problems;
Chapter 10: Circular References;
10.1 Problems;
Chapter 11: IF Statements;
11.1 Problems;
Chapter 12: Time and Time Functions;
12.1 Problems;
Chapter 13: The Paste Special Command;
13.1 Problems;
Chapter 14: The Auditing Tool;
14.1 Problems;
Chapter 15: Sensitivity Analysis with Data Tables;
15.1 Problems;
Chapter 16: The Goal Seek Command;
16.1 Problems;
Chapter 17: Using the Scenario Manager for Sensitivity Analysis;
17.1 Remarks;
17.2 Problems;
18.1 Remarks;
18.2 Problems;
Chapter 19: The SUMIF, AVERAGEIF, SUMIFS, and AVERAGEIFS Functions;
19.1 Problems;
Chapter 20: The OFFSET Function;
20.1 Remark;
20.2 Problems;
Chapter 21: The INDIRECT Function;
21.1 Problems;
Chapter 22: Conditional Formatting;
22.1 Problems;
Chapter 23: Sorting in Excel;
23.1 Problems;
Chapter 24: Tables;
24.1 Problems;
Chapter 25: Spin Buttons, Scroll Bars, Option Buttons, Check Boxes, Combo Boxes, and Group List Boxes;
25.1 Spin Buttons and Scroll Bars;
25.2 Problems;
Chapter 26: An Introduction to Optimization with Excel Solver;
26.1 Problems;
Chapter 27: Using Solver to Determine the Optimal Product Mix;
27.1 Problems;
Chapter 28: Using Solver to Schedule Your Workforce;
28.1 Problems;
Chapter 29: Using Solver to Solve Transportation or Distribution Problems;
29.1 Problems;
Chapter 30: Using Solver for Capital Budgeting;
30.1 Handling Other Constraints;
30.2 Problems;
Chapter 31: Using Solver for Financial Planning;
31.1 Problems;
Chapter 32: Using Solver to Rate Sports Teams;
32.1 Problems;
Chapter 33: Importing Data from a Text File or Document;
33.1 Problems;
Chapter 34: Importing Data from the Internet;
34.1 Problems;
Chapter 35: Validating Data;
35.1 Remarks;
35.2 Problems;
Chapter 36: Summarizing Data by Using Histograms;
36.1 Problems;
Chapter 37: Summarizing Data by Using Descriptive Statistics;
37.1 Mean;
37.2 Median;
37.3 Mode;
37.4 Kurtosis;
37.5 Sample variance and sample standard deviation;
37.6 Range;
37.7 Problems;
Chapter 38: Using PivotTables to Describe Data;
38.1 Remarks About Grouping;
38.2 Problems;
Chapter 39: Summarizing Data with Database Statistical Functions;
39.1 Problems;
Chapter 40: Filtering Data and Removing Duplicates;
40.1 Problems;
Chapter 41: Consolidating Data;
41.1 Problems;
Chapter 42: Creating Subtotals;
42.1 Problems;
Chapter 43: Estimating Straight Line Relationships;
43.1 Problems;
Chapter 44: Modeling Exponential Growth;
44.1 Problems;
Chapter 45: The Power Curve;
45.1 Problems;
Chapter 46: Using Correlations to Summarize Relationships;
46.1 Filling in the correlation matrix;
46.2 Using the CORREL function;
46.3 Relationship between correlation and R2;
46.4 Correlation and regression towards the mean;
46.5 Problems;
Chapter 47: Introduction to Multiple Regression;
47.1 What is the best prediction equation?;
Chapter 48: Incorporating Qualitative Factors into Multiple Regression;
Chapter 49: Modeling Nonlinearities and Interactions;
49.1 Problems for Chapters 47 Through 49;
Chapter 50: Analysis of Variance: One-Way ANOVA;
50.1 Problems;
Chapter 51: Randomized Blocks and Two-Way ANOVA;
51.1 Problems;
Chapter 52: Using Moving Averages to Understand Time Series;
52.1 Problem;
Chapter 53: Winter’s Method;
53.1 Time Series Characteristics;
53.2 Parameter Definitions;
53.3 Initializing Winter’s Method;
53.4 Estimating the Smoothing Constants;
53.5 Remarks;
53.6 Problems;
Chapter 54: Forecasting in the Presence of Special Events;
54.1 Problems;
Chapter 55: An Introduction to Random Variables;
55.1 Problems;
Chapter 56: The Binomial, Hypergeometric, and Negative Binomial Random Variables;
56.1 Coke or Pepsi;
56.2 Elevator Rails;
56.3 Airline Overbooking;
56.4 Problems;
Chapter 57: The Poisson and Exponential Random Variable;
57.1 Problems;
Chapter 58: The Normal Random Variable;
58.1 What fraction of people have an IQ of less than 90?;
58.2 What fraction of all people have IQs from 95 through 120?;
58.3 What fraction of all people have IQs of at least 130?;
58.4 Problems;
Chapter 59: Weibull and Beta Distributions: Modeling Machine Life and Duration of a Project;
59.1 What is the probability that a machine will last at least 20 hours?;
59.2 What is the probability that a machine will last from 15 through 30 hours?;
59.3 Problems;
Chapter 60: Introduction to Monte Carlo Simulation;
60.1 Problems;
Chapter 61: Calculating an Optimal Bid;
61.1 Problems;
Chapter 62: Simulating Stock Prices and Asset Allocation Modeling;
62.1 Problems;
Chapter 63: Fun and Games: Simulating Gambling and Sporting Event Probabilities;
63.1 Problems;
Chapter 64: Using Resampling to Analyze Data;
64.1 Problems;
Chapter 65: Pricing Stock Options;
65.1 Problems;
Chapter 66: Determining Customer Value;
66.1 Problems;
Chapter 67: The Economic Order Quantity Inventory Model;
67.1 Problems;
Chapter 68: Inventory Modeling with Uncertain Demand;
68.1 The back-order case;
68.2 The lost-sales case;
68.3 Problems;
Chapter 69: Queuing Theory: The Mathematics of Waiting in Line;
69.1 Problems;
Chapter 70: Estimating a Demand Curve;
70.1 Problems;
Chapter 71: Pricing Products by Using Tie-Ins;
71.1 Problems;
Chapter 72: Pricing Products by Using Subjectively Determined Demand;
72.1 Problems;
Chapter 73: Nonlinear Pricing;
73.1 Problems;
Chapter 74: Array Formulas and Functions;
74.1 How many units of makeup did Jen sell?;
74.2 How many units of lipstick did Jen sell?;
74.3 How many units were sold by Jen or were lipstick?;
74.4 Can I summarize the number of units of each product sold by each salesperson?;
74.5 Problems;
About the Author;

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