Microsoft Excel 2010 [electronic book] : data analysis and business modeling / Wayne L. Winston.
By: Winston, Wayne L [author]
.
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Item type | Current library | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|
e-BOOK | MTU Bishopstown Library eBook | 005.54 (Browse shelf(Opens below)) | Not for loan |
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Enhanced descriptions from Syndetics:
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!
Downloadable eBook Hundreds of scenario-based practice problems All the book's sample files--plus customizable templates
Includes index.
What's new in Excel 2010 -- Range names -- Lookup functions -- The INDEX function -- The MATCH function -- Text functions -- Dates and date functions -- Evaluating investments by using net present value criteria -- Internal rate of return -- More Excel financial functions -- Circular references -- IF statements -- Time and time functions -- The paste special command -- Three-dimensional formulas -- The auditing tool -- Sensitivity analysis with data tables -- The goal seek command -- Using the scenario manager for sensitivity analysis -- The COUNTIF, COUNTIFS, COUNT, COUNTA, and COUNTBLANK Functions -- The SUMIF, AVERAGEIF, SUMIFS, and AVERAGEIFS functions -- The OFFSET function -- The INDIRECT function -- Conditional formatting -- Sorting in Excel -- Tables -- Spin buttons, scroll bars, option buttons, check boxes, combo boxes, and group list boxes -- An introduction to optimization with Excel Solver -- Using Solver to determine the optimal product mix -- Using Solver to schedule your workforce -- Using Solver to solve transportation or distribution problems -- Using Solver for capital budgeting -- Using Solver for financial planning -- Using Solver to rate sports teams -- Warehouse location and the GRG multistart and Evolutionary Solver engines -- Penalties and the Evolutionary Solver -- The traveling salesperson problem -- Importing data from a text file or document -- Importing data from the internet -- Validating data -- Summarizing data by using histograms -- Summarizing data by using descriptive statistics -- Using PivotTables and slicers to describe data -- Sparklines -- Summarizing data with database statistical functions -- Filtering data and removing duplicates -- Consolidating data -- Creating subtotals -- Estimating straight line relationships -- Modeling exponential growth -- The power curve -- Using correlations to summarize relationships -- Introduction to multiple regression -- Incorporating qualitative factors into multiple regression -- Modeling nonlinearities and interactions -- Analysis of variance: one-way ANOVA -- Randomized blocks and two-way ANOVA -- Using moving averages to understand time series -- Winters's method -- Ratio-to-moving-average forecast method -- Forecasting in the presence of special events -- An introduction to random variables -- The binomial, hypergeometric, and negative binomial random variables -- The Poisson and exponential random variable -- The normal random variable -- Weibull and beta distributions: modeling machine life and duration of a project -- Making probability statements from forecasts -- Using the lognormal random variable to model stock prices -- Introduction to Monte Carlo simulation -- Calculating an optimal bid -- Simulating stock prices and asset allocation modeling -- Fun and games: simulating gambling and sporting event probabilities -- Using resampling to analyze data -- Pricing stock options -- Determining customer value -- The economic order quantity inventory model -- Inventory modeling with uncertain demand -- Queuing theory: the mathematics of waiting in line -- Estimating a demand curve -- Pricing products by using tie-ins -- Pricing products by using subjectively determined demand -- Nonlinear pricing -- Array formulas and functions -- PowerPivot.
Also available in print form.
Electronic reproduction.: ProQuest LibCentral. Mode of access: World Wide Web.
Author notes provided by Syndetics
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.