# Microsoft Excel Data Analysis and Business Modeling (Office 2021 and Microsoft 365) 7th Edition by Wayne Winston

## Microsoft Excel Data Analysis and Business Modeling (Office 2021 and Microsoft 365), 7th Edition

by Wayne Winston

Contents

Introduction

Chapter 1 Basic worksheet modeling

Problems

Chapter 2 Range names

How can I create named ranges?

Using the Name box to create a range name

Creating named ranges using the Create from Selection option

Creating range names using the Define Name option

The Name Manager

Remarks

Problems

Chapter 3 Lookup functions

Syntax of the lookup functions

VLOOKUP syntax

HLOOKUP syntax

XLOOKUP syntax

Problems

Chapter 4 The INDEX function

Syntax of the INDEX function

Problems

Chapter 5 The MATCH function

Syntax of the MATCH function

Problems

Chapter 6 Text functions and Flash Fill

Text function syntax

Problems

Chapter 7 Dates and date functions

Problems

Chapter 8 The net present value functions: NPV and XNPV

Problems

Chapter 9 The internal rate of return: IRR, XIRR,

and MIRR functions

Problems

Chapter 10 More Excel financial functions

Problems

Chapter 11 Circular references

Problems

Chapter 12 IF, IFERROR, IFS, CHOOSE, SWITCH, and the IS functions

Problems

Chapter 13 Time and time functions

Problems

Chapter 14 The Paste Special command

Problems

Chapter 15 Three-dimensional formulas and hyperlinks

Problems

Chapter 16 The auditing tool and the Inquire add-in

Excel auditing options

Show Formulas

Error Checking

Watch Window

Trace Precedents, Trace Dependents, and Remove Arrows

Problems

Chapter 17 Sensitivity analysis with data tables

Problems

Chapter 18 The Goal Seek command

Problems

Chapter 19 Using the Scenario Manager for sensitivity analysis

Remarks

Problems

Chapter 20 The COUNTIF, COUNTIFS, COUNT, COUNTA, and COUNTBLANK

functions

Remarks

Problems

Chapter 21 The SUMIF, AVERAGEIF, SUMIFS, AVERAGEIFS, MAXIFS, and MINIFS

functions

Problems

Chapter 22 The OFFSET function

Remarks

Problems

Chapter 23 The INDIRECT function

Problems

Chapter 24 Conditional formatting

Problems

Chapter 25 Excel tables and table slicers

Problems

Chapter 26 Spin buttons, scrollbars, option buttons, check boxes, combo boxes, and group

list boxes

Problems

Chapter 27 Importing data from a text file or document

Problems

Chapter 28 The Power Query Editor

Problems

Chapter 29 Excel’s new data types

Problems

Chapter 30 Summarizing data with histograms and Pareto charts

Problems

Chapter 31 Summarizing data with descriptive statistics

Problems

Chapter 32 Sorting in Excel

Problems

Chapter 33 Filtering data and removing duplicates

Problems

Chapter 34 Summarizing data with database statistical functions

Problems

Chapter 35 Array formulas and functions

Problems

Chapter 36 Excel’s new dynamic array functions

Problems

Chapter 37 Validating data

Remarks

Problems

Chapter 38 Using PivotTables and slicers to describe data

Problems

Chapter 39 The Data Model

Problems

Chapter 40 Power Pivot

Problems

Chapter 41 Consolidating data

Problems

Chapter 42 Creating subtotals

Problems

Chapter 43 Basic charting

Problems

Problems

Chapter 45 Filled and 3D Maps

Problems

Chapter 46 Sparklines

Problems

Chapter 47 Estimating straight-line relationships

Problems

Chapter 48 Modeling exponential growth

Problems

Chapter 49 The power curve

Problems

Chapter 50 Using correlations to summarize relationships

Problems

Chapter 51 Introduction to multiple regression

Problems

Chapter 52 Incorporating qualitative factors into multiple regression

Problems

Chapter 53 Modeling nonlinearities and interactions

Problems for Chapters 51–53

Chapter 54 Analysis of variance: One-way ANOVA

Problems

Chapter 55 Randomized blocks and two-way ANOVA

Problems

Chapter 56 Using moving averages to understand time series

Problem

Chapter 57 Ratio-to-moving-average forecast method

Problem

Chapter 58 An introduction to probability

Problems

Chapter 59 An introduction to random variables

Problems

Chapter 60 The binomial, hypergeometric, and negative binomial random variables

Problems

Chapter 61 The Poisson and exponential random variable

Problems

Chapter 62 The normal random variable and Z-scores

Problems

Chapter 63 Making probability statements from forecasts

Problems

Chapter 64 Using the lognormal random variable to model stock prices

Remarks

Problems

Chapter 65 Importing past stock prices, exchange rates, and cryptocurrency prices with the

STOCKHISTORY function

Problems

Chapter 66 An introduction to optimization with Excel Solver

Problems

Chapter 67 Using Solver to determine the optimal product mix

Problems

Chapter 68 Using Solver to schedule your workforce

Problems

Chapter 69 Using Solver to solve transportation or distribution problems

Problems

Chapter 70 Using Solver for capital budgeting

Problems

Chapter 71 Using Solver for financial planning

Problems

Chapter 72 Using Solver to rate sports teams

Problems

Chapter 73 The Winters method and the Forecast Sheet tool

Remarks

Problems

Chapter 74 Forecasting in the presence of special events

Problems

Chapter 75 Warehouse location and the GRG Multistart and Evolutionary Solver engines

Problems

Chapter 76 Penalties and the Evolutionary Solver

Problems

Chapter 77 The traveling salesperson problem

Problems

Chapter 78 Weibull and beta distributions: Modeling machine life and duration of a project

Problems

Chapter 79 Introduction to Monte Carlo simulation

Problems

Chapter 80 Calculating an optimal bid

Problems

Chapter 81 Simulating stock prices and asset-allocation modeling

Problems

Chapter 82 Fun and games: Simulating gambling and sporting-event probabilities

Problems

Chapter 83 Using resampling to analyze data

Problems

Chapter 84 Pricing stock options

Problems

Chapter 85 Determining customer value

Problems

Chapter 86 The economic order quantity inventory model

Problems

Chapter 87 Inventory modeling with uncertain demand

Problems

Chapter 88 Queuing theory: The mathematics of waiting in line

Problems

Chapter 89 Estimating a demand curve

Problems

Chapter 90 Pricing products by using tie-ins

Problems

Chapter 91 Pricing products by using subjectively determined demand

Problems

Chapter 92 Nonlinear pricing

Problems

Chapter 93 Use Analyze Data to find patterns in your data

Problems

Chapter 94 Recording macros

Problems

Chapter 95 The LET and LAMBDA functions and the LAMBDA helper functions

Problems