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Microsoft Excel Data Analysis and Business Modeling 5th edition [Mīkstie vāki]

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  • Formāts: Paperback / softback, 864 pages, height x width x depth: 229x190x44 mm, weight: 1437 g
  • Sērija : Business Skills
  • Izdošanas datums: 19-Jan-2017
  • Izdevniecība: Microsoft Press
  • ISBN-10: 1509304215
  • ISBN-13: 9781509304219
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  • Formāts: Paperback / softback, 864 pages, height x width x depth: 229x190x44 mm, weight: 1437 g
  • Sērija : Business Skills
  • Izdošanas datums: 19-Jan-2017
  • Izdevniecība: Microsoft Press
  • ISBN-10: 1509304215
  • ISBN-13: 9781509304219
Citas grāmatas par šo tēmu:

Written by award-winning educator Wayne Winston, this hands-on, scenario-focused guide will help you apply Excel 2016's most valuable innovations for data analysis and business modeling.  It's packed with realistic problems and solutions to help you gain mastery -- including over 150 that are new or revised. Coverage includes:

  • Quickly transitioning from basic Excel to more sophisticated analytics
  • Summarizing data with PivotTables and Descriptive Statistics
  • Exploring new trends in predictive and prescriptive analytics
  • Using Excel Trend Curves, multiple regression, and exponential smoothing
  • Mastering advanced Excel functions such as OFFSET and INDIRECT
  • Delving into key financial, statistical, and time functions
  • Making charts more effective with Power View
  • Tame complex optimization problems with Excel Solver
  • Running Monte Carlo simulations on stock prices and bidding models
  • Using Excel 2016's new FORECAST and Power Map tools
  • Working with the AGGREGATE function and Table Slicers
  • Creating multiple PivotTables from a filter
  • Using HYPERLINKS, ISFORMULA, and UNICODE
  • Performing sensitivity analyses with more than two variables
  • Making the most of the Inquire add-in
  • And much more
Introduction xxi
Chapter 1 Basic spreadsheet modeling 1(8)
Answers to this chapter's questions
1(7)
Problems
8(1)
Chapter 2 Range names 9(12)
How can I create named ranges?
9(5)
Using the Name box to create a range name
10(1)
Creating named ranges by using the Create From Selection option
11(1)
Creating range names by using the Define Name option
12(1)
The Name Manager
13(1)
Answers to this chapter's questions
14(5)
Remarks
18(1)
Problems
19(2)
Chapter 3 Lookup functions 21(8)
Syntax of the lookup functions
21(1)
VLOOKUP syntax
21(1)
HLOOKUP syntax
22(1)
Answers to this chapter's questions
22(3)
Problems
25(4)
Chapter 4 The INDEX function 29(4)
Syntax of the INDEX function
29(1)
Answers to this chapter's questions
29(2)
Problems
31(2)
Chapter 5 The MATCH function 33(6)
Syntax of the MATCH function
33(2)
Answers to this chapter's questions
35(3)
Problems
38(1)
Chapter 6 Text functions 39(16)
Text function syntax
40(3)
The LEFT function
41(1)
The RIGHT function
41(1)
The MID function
41(1)
The TRIM function
41(1)
The LEN function
41(1)
The FIND and SEARCH functions
41(1)
The REPT function
41(1)
The CONCATENATE and & functions
42(1)
The REPLACE function
42(1)
The VALUE function
42(1)
The UPPER, LOWER, and PROPER functions
42(1)
The CHAR function
42(1)
The CLEAN function
43(1)
The SUBSTITUTE function
43(1)
Answers to this chapter's questions
43(8)
Extracting data by using the Convert Text To Columns Wizard
47(4)
Problems
51(4)
Chapter 7 Dates and date functions 55(8)
Answers to this chapter's questions
56(5)
Problems
61(2)
Chapter 8 Evaluating investments by using net present value criteria 63(6)
Answers to this chapter's questions
64(4)
Problems
68(1)
Chapter 9 Internal rate of return 69(6)
Answers to this chapter's questions
70(3)
Problems
73(2)
Chapter 10 More Excel financial functions 75(14)
Answers to this chapter's questions
75(8)
CUMPRINC and CUMIPMT functions
80(3)
Problems
83(6)
Chapter 11 Circular references 89(6)
Answers to this chapter's questions
89(3)
Problems
92(3)
Chapter 12 IF statements 95(18)
Answers to this chapter's questions
96(12)
Problems
108(5)
Chapter 13 Time and time functions 113(6)
Answers to this chapter's questions
114(4)
Problems
118(1)
Chapter 14 The Paste Special command 119(6)
Answers to this chapter's questions
119(4)
Problems
123(2)
Chapter 15 Three-dimensional formulas and hyperlinks 125(6)
Answers to this chapter's questions
125(3)
Problems
128(3)
Chapter 16 The auditing tool 131(8)
Answers to this chapter's questions
134(4)
Problems
138(1)
Chapter 17 Sensitivity analysis with data tables 139(12)
Answers to this chapter's questions
140(6)
Problems
146(5)
Chapter 18 The Goal Seek command 151(6)
Answers to this chapter's questions
151(3)
Problems
154(3)
Chapter 19 Using the Scenario Manager for sensitivity analysis 157(6)
Answer to this chapter's question
157(4)
Remarks
161(1)
Problems
161(2)
Chapter 20 The COUNTIF, COUNTIFS, COUNT, COUNTA, and COUNTBLANK functions 163(8)
Answers to this chapter's questions
165(3)
Remarks
168(1)
Problems
168(3)
Chapter 21 The SUMIF, AVERAGEIF, SUMIFS, and AVERAGEIFS functions 171(6)
Answers to this chapter's questions
172(3)
Problems
175(2)
Chapter 22 The OFFSET function 177(14)
Answers to this chapter's questions
178(9)
Remarks
187(1)
Problems
187(4)
Chapter 23 The INDIRECT function 191(8)
Answers to this chapter's questions
192(6)
Problems
198(1)
Chapter 24 Conditional formatting 199(28)
Answers to this chapter's questions
201(21)
Problems
222(5)
Chapter 25 Sorting in Excel 227(8)
Answers to this chapter's questions
227(7)
Problems
234(1)
Chapter 26 Tables 235(16)
Answers to this chapter's questions
235(13)
Problems
248(3)
Chapter 27 Spin buttons, scroll bars, option buttons, check boxes, combo boxes, and group list boxes 251(12)
Answers to this chapter's questions
252(9)
Problems
261(2)
Chapter 28 The analytics revolution 263(6)
Answers to this chapter's questions
263(6)
Chapter 29 An introduction to optimization with Excel Solver 269(4)
Problems
272(1)
Chapter 30 Using Solver to determine the optimal product mix 273(12)
Answers to this chapter's questions
273(9)
Problems
282(3)
Chapter 31 Using Solver to schedule your workforce 285(6)
Answers to this chapter's question
285(6)
Problems
288(3)
Chapter 32 Using Solver to solve transportation or distribution problems 291(6)
Answer to this chapter's question
291(3)
Problems
294(3)
Chapter 33 Using Solver for capital budgeting 297(8)
Answer to this chapter's question
297(5)
Handling other constraints
300(1)
Solving binary and integer programming problems
301(1)
Problems
302(3)
Chapter 34 Using Solver for financial planning 305(6)
Answers to this chapter's questions
305(4)
Problems
309(2)
Chapter 35 Using Solver to rate sports teams 311(6)
Answer to this chapter's question
312(2)
Why is our model not a linear Solver model?
314(1)
Problems
314(3)
Chapter 36 Warehouse location and the GRG Multistart and Evolutionary Solver engines 317(10)
Understanding the GRG Multistart and Evolutionary Solver engines
317(4)
How does Solver solve linear model problems?
317(1)
How does the GRG Nonlinear engine solve nonlinear optimization models?
318(3)
How does the Evolutionary Solver engine tackle nonsmooth optimization problems?
321(1)
Answer to this chapter's questions
321(5)
Problems
326(1)
Chapter 37 Penalties and the Evolutionary Solver 327(6)
Answers to this chapter's questions
327(3)
Using conditional formatting to highlight each employee's ratings
330(1)
Problems
330(3)
Chapter 38 The traveling salesperson problem 333(4)
Answers to this chapter's questions
333(3)
Problems
336(1)
Chapter 39 Importing data from a text file or document 337(6)
Answers to this chapter's question
337(4)
Problems
341(2)
Chapter 40 Validating data 343(8)
Answers to this chapter's questions
343(5)
Remarks
347(1)
Problems
348(3)
Chapter 41 Summarizing data by using histograms and Pareto charts 351(14)
Answers to this chapter's questions
351(11)
Problems
362(3)
Chapter 42 Summarizing data by using descriptive statistics 365(18)
Answers to this chapter's questions
366(14)
Using conditional formatting to highlight outliers
371(9)
Problems
380(3)
Chapter 43 Using PivotTables and slicers to describe data 383(46)
Answers to this chapter's questions
384(40)
Remarks about grouping
412(12)
Problems
424(5)
Chapter 44 The Data Model 429(10)
Answers to this chapter's questions
429(8)
Problems
437(2)
Chapter 45 Power Pivot 439(12)
Answers to this chapter's questions
440(9)
Problems
449(2)
Chapter 46 Power View and 3D Maps 451(14)
Questions answered in this chapter
452(12)
Problems
464(1)
Chapter 47 Sparklines 465(6)
Answers to this chapter's questions
465(4)
Problems
469(2)
Chapter 48 Summarizing data with database statistical functions 471(10)
Answers to this chapter's questions
473(5)
Problems
478(3)
Chapter 49 Filtering data and removing duplicates 481(14)
Answers to this chapter's questions
483(11)
Problems
494(1)
Chapter 50 Consolidating data 495(6)
Answer to this chapter's question
495(4)
Problems
499(2)
Chapter 51 Creating subtotals 501(6)
Answers to this chapter's questions
501(4)
Problems
505(2)
Chapter 52 Charting tricks 507(36)
Answers to this chapter's questions
508(32)
Problems
540(3)
Chapter 53 Estimating straight-line relationships 543(8)
Answers to this chapter's questions
544(5)
Problems
549(2)
Chapter 54 Modeling exponential growth 551(4)
Answers to this chapter's question
551(3)
Problems
554(1)
Chapter 55 The power curve 555(6)
Answer to this chapter's question
557(2)
Problems
559(2)
Chapter 56 Using correlations to summarize relationships 561(6)
Answer to this chapter's question
563(3)
Filling in the correlation matrix
564(1)
Using the CORREL function
565(1)
Relationship between correlation and R-squared
565(1)
Correlation and regression toward the mean
566(1)
Problems
566(1)
Chapter 57 Introduction to multiple regression 567(8)
Answers to this chapter's questions
567(8)
Chapter 58 Incorporating qualitative factors into multiple regression 575(10)
Answers to this chapter's questions
575(10)
Chapter 59 Modeling nonlinearities and interactions 585(8)
Answers to this chapter's questions
585(4)
Problems for
Chapters 57 through 59
589(4)
Chapter 60 Analysis of variance: One-way ANOVA 593(6)
Answers to this chapter's questions
594(3)
Problems
597(2)
Chapter 61 Randomized blocks and two-way ANOVA 599(10)
Answers to this chapter's questions
600(7)
Problems
607(2)
Chapter 62 Using moving averages to understand time series 609(4)
Answers to this chapter's question
609(2)
Problem
611(2)
Chapter 63 Winters method 613(6)
Time-series characteristics
613(1)
Parameter definitions
613(1)
Initializing Winters method
614(1)
Estimating the smoothing constants
615(2)
Remarks
617(1)
Problems
617(2)
Chapter 64 Ratio-to-moving-average forecast method 619(4)
Answers to this chapter's questions
619(3)
Problem
622(1)
Chapter 65 Forecasting in the presence of special events 623(8)
Answers to this chapter's questions
623(7)
Problems
630(1)
Chapter 66 An introduction to probability 631(10)
Answers to this chapter's questions
631(6)
Problems
637(4)
Chapter 67 An introduction to random variables 641(6)
Answers to this chapter's questions
641(4)
Problems
645(2)
Chapter 68 The binomial, hypergeometric, and negative binomial random variables 647(8)
Answers to this chapter's questions
648(5)
Problems
653(2)
Chapter 69 The Poisson and exponential random variable 655(4)
Answers to this chapter's questions
655(3)
Problems
658(1)
Chapter 70 The normal random variable and Z-scores 659(10)
Answers to this chapter's questions
659(7)
Problems
666(3)
Chapter 71 Weibull and beta distributions: Modeling machine life and duration of a project 669(6)
Answers to this chapter's questions
669(4)
Problems
673(2)
Chapter 72 Making probability statements from forecasts 675(4)
Answers to this chapter's questions
675(2)
Problems
677(2)
Chapter 73 Using the lognormal random variable to model stock prices 679(4)
Answers to this chapter's questions
679(3)
Remarks
682(1)
Problems
682(1)
Chapter 74 Introduction to Monte Carlo simulation 683(10)
Answers to this chapter's questions
683(7)
The impact of risk on your decision
689(1)
Confidence interval for mean profit
690(1)
Problems
690(3)
Chapter 75 Calculating an optimal bid 693(6)
Answers to this chapter's questions
693(3)
Problems
696(3)
Chapter 76 Simulating stock prices and asset-allocation modeling 699(10)
Answers to this chapter's questions
699(8)
Problems
707(2)
Chapter 77 Fun and games: Simulating gambling and sporting-event probabilities 709(8)
Answers to this chapter's questions
709(6)
Problems
715(2)
Chapter 78 Using resampling to analyze data 717(4)
Answer to this chapter's question
717(2)
Problems
719(2)
Chapter 79 Pricing stock options 721(14)
Answers to this chapter's questions
722(10)
Problems
732(3)
Chapter 80 Determining customer value 735(6)
Answers to this chapter's questions
735(4)
Problems
739(2)
Chapter 81 The economic order quantity inventory model 741(6)
Answers to this chapter's questions
741(4)
Problems
745(2)
Chapter 82 Inventory modeling with uncertain demand 747(6)
Answers to this chapter's questions
748(4)
Thse back-order case
748(1)
The lost-sales case
749(3)
Problem
752(1)
Chapter 83 Queuing theory: The mathematics of waiting in line 753(6)
Answers to this chapter's questions
753(4)
Problems
757(2)
Chapter 84 Estimating a demand curve 759(6)
Answers to this chapter's questions
759(4)
Problems
763(2)
Chapter 85 Pricing products by using tie-ins 765(6)
Answer to this chapter's question
765(3)
Problems
768(3)
Chapter 86 Pricing products by using subjectively determined demand 771(6)
Answer to this chapter's questions
771(3)
Problems
774(3)
Chapter 87 Nonlinear pricing 777(8)
Answers to this chapter's questions
777(7)
Problems
784(1)
Chapter 88 Array formulas and functions 785(18)
Answers to this chapter's questions
786(14)
Problems
800(3)
Chapter 89 Recording macros 803(12)
Answers to this chapter's questions
803(9)
Problems
812(3)
Index 815
WAYNE L. WINSTON is Professor Emeritus of Decision Sciences at Indiana Universitys Kelley School of Business and Visiting Professor of Decision and Information Sciences at University of Houston Bauer College of Business. He has earned numerous MBA teaching awards. For more than 20 years, he has taught clients at Fortune 500 companies, various accounting groups, the US Navy, and the US Army 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.