The term ìspreadsheetî covers a wide variety of elements useful for quantitative
analysis of all kinds. Essentially, a spreadsheet is a simple tool consisting of a
matrix of cells that can store numbers, text, or formulas. The spreadsheetís power
comes from its ability to recalculate results as you change the contents of other
cells. No longer does the user need to do these calculations by hand or on a
Suitable as a supplement or primary text, FAME integrates corporate finance with spreadsheet analysis using Excel. It is ideal for courses in financial management, financial models, capital budgeting, or case courses. This edition is updated for Excel 2000 as well as new topics in finance.
Spreadsheets provide one of the most easily learned routes to scientific computing. This book uses Excel®, the most powerful spreadsheet available, to explore and solve problems in general and chemical data analysis. It follows the usual sequence of college textbooks in analytical chemistry: statistics, chemical equilibria, pH calculations, titrations, and instrumental methods such as chromatography, spectrometry, and
This text offers the perfect introduction to social benefit-cost analysis. The book closely integrates the theory and practice of benefit-cost analysis using a spreadsheet framework. The spreadsheet model is constructed in a truly original way which contributes to transparency, provides a check on the accuracy of the analysis, and facilitates sensitivity, risk and alternative scenario assessment. A case study inco
OpenOffice Calc is the most powerful and widespread open source spreadsheet application in existence. It is the only real alternative to Excel. Jacek Artymiak is widely regarded as the authority on OpenOffice Calc. He takes you, step by step, from the interface and handling Calc files to working with data sources small and large. Artymiak then extends the reader's skillset to data visualization, writing complex formulas and performing statistical analysis.
Chapter 9 - Introduction to industry and company analysis. The topics discussed in this chapter are: Uses of industry analysis; industry classification systems; establishing a peer group; strategic analysis: Porter’s five forces; industry and product life cycles; demographic, governmental, social, and technological influences; company analysis; cost and differentiation strategies; spreadsheet modeling.
Chapter 5 "Linear programming: Sensitivity analysis and duality", after completing this chapter, you should be able to: Explain how sensitivity analysis can be useful to a decision maker, explain why it can be useful for a decision maker to extend the analysis of a linear programming problem beyond determination of the optimal solution, explain how to analyze graphically and interpret the impact of a change in the value of the objective function coefficient,...
This book consolidates all the best functionality of pivot tables into one guide that provides you with a meaningful tutorial, offering practical solutions to day-to-day problems.
Within just the first 2 chapters, you will be creating basic pivot tables, increasing productivity, and producing reports in minutes instead of hours.
However, engineering freshmen are less interested in what was or what is than they are in what will be.
Young men and women exploring engineering as a career are excited about the future—their future—and
about the engineering challenges 10 to 20 years from now when they are in the spring and summer of
their careers. In the words of the four-time Stanley Cup winner and Hockey Hall of Fame member Wayne
I skate to where the puck is going to be, not where it’s been.
Loren’s book provides a way for companies to quickly and efficiently use Assistive Technology to make basic spreadsheets accessible. His approach is direct and easy to follow, hands-on, and practical. His innovation, Assistive Portals, opens the door to making graphical interfaces embedded in decision analysis spreadsheets readily accessible to individuals with visual impairments. While making technology accessible is a difficult challenge for the business world, this book brings it well within reach....
Explain the basic purpose of a spreadsheet program. Identify the various components of the Excel screen. Navigate the Excel worksheet (entering, correcting, and moving data within the worksheet). Explain the purpose and usage of Excel’s built-in functions and macro functions.
SPSS Statistics provides a powerful statistical-analysis and data-management system in a
graphical environment, using descriptive menus and simple dialog boxes to do most of the work
for you. Most tasks can be accomplished simply by pointing and clicking the mouse.
In addition to the simple point-and-click interface for statistical analysis, SPSS Statistics provides:
Data Editor. The Data Editor is a versatile spreadsheet-like system for defining, entering, editing,
and displaying data.
Since Office 2000, Microsoft has marketed the Office suite as a set of interoperable
applications that easily enable integration of multiple processes. For most
users, however, Office is still a suite of individual applications. Excel is used
for spreadsheet analysis and reporting whereas Access is used for database
functions—and that’s it.
“A systematic framework for economic appraisal of proposed public and private projects from a public interest point of view”
– based on Benefit-Cost Analysis: Financial and Economic Appraisal using Spreadsheets by H. Campbell & R. Brown (Cambridge University Press, 2003)
Module D (Office 2010 Version) - Decision analysis with spreadsheet software. This chapter define a list and a list definition table within the context of spreadsheet software and describe the importance of each, compare and contrast the Filter function and Custom Filter function in spreadsheet software, describe the purpose of using conditional formatting, define a pivot table and describe how you can use it to view summarized information by dimension, describe the purpose of using Goal Seek.
Using Decision Variables
he ﬁrst four chapters covered the basics of specifying Crystal Ball assumptions and analyzing Crystal Ball forecasts. This chapter covers the basics of deﬁning and using Crystal Ball decision variables and its decision support tools, Decision Table and OptQuest.
DEFINING DECISION VARIABLES
Decision variables are spreadsheet cells in which the values are varied systematically rather than sampled randomly, as are assumptions.
This subject focuses on management accounting for cost and control purposes in an organisational context. Emphasises the use of quantitative techniques and computer software including spreadsheets and presentation graphics.
This book is designed as a supplementary text for upper division under-
graduate and graduate real estate investment courses. The CD-ROM included
with the book contains spreadsheets for data analysis tailored speciﬁcally
to real estate settings. The major thrust is to bridge the gap between theory
and practice by showing the student how to implement his real estate
education in the real world.
The study of real estate follows long traditions grounded in Urban
Economics and Finance.