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Managers and analysts routinely collect and examine key performance
measures to better understand their operations and make good
decisions. Being able to render the complexity of operations data
into a coherent account of significant events requires an
understanding of how to work well with raw data and to make
appropriate inferences. Although some statistical techniques for
analyzing data and making inferences are sophisticated and require
specialized expertise, there are methods that are understandable
and applicable by anyone with basic algebra skills and the support
of a spreadsheet package. By applying these fundamental methods
themselves rather than turning over both the data and the
responsibility for analysis and interpretation to an expert,
managers will develop a richer understanding and potentially gain
better control over their environment. This text is intended to
describe these fundamental statistical techniques to managers, data
analysts, and students. Statistical analysis of sample data is
enhanced by the use of computers. Spreadsheet software is well
suited for the methods discussed in this text. Examples in the text
apply Microsoft Excel. Readers will have access to the example
workbooks and Adobe Flash videos illustrating key steps using
Microsoft Excel from the Business Expert Press website.
If you have good economic principles, then more than likely, you're
making good business decisions. Although economics is sometimes
dismissed as a discourse of practical relevance to only a
relatively small circle of academicians and policy analysts who
call themselves economists, sound economic reasoning benefits any
manager of a business, whether they are involved with production
and operations, marketing, finance, or corporate strategy. This
highly respected text will help you and any business manager with
managerial economics, which is the application of microeconomics to
business decisions. Inside, you'll learn about the key
relationships between price, quantity, cost, revenue, and profit,
which are detailed for an individual firm in the form of simple
conceptual models. The book includes key elements from the
economics of consumer demand and the economics of production. It
also discusses economic motivations for expanding a business and
contributions from economics for improved organization of large
firms, as well as market price-quantity equilibrium, competitive
behavior, and the role of market structure on market equilibrium
and competition. It concludes by considering market regulation in
terms of the generic problems that create the need for regulation
and possible remedies for those problems.
Managers and analysts routinely collect and examine key performance
measures to better understand their operations and make good
decisions. Being able to render the complexity of operations data
into a coherent account of significant events requires an
understanding of how to work well in the electronic environment
with raw data. Although some statistical and financial techniques
for analyzing data are sophisticated and require specialized
expertise, there are methods that are understandable and applicable
by anyone with basic algebra skills and the support of a
spreadsheet package. While specialized software packages may be
used in a particular business setting, Microsoft Excel is routinely
available on computer desktops. Managers who have been in the field
any length of time may not be sufficiently familiar with the
capabilities of Excel to make optimal use of its functionalities.
Prior to undertaking a program to pursue executive training,
managers who are refreshed with basic algebra skills and the
capabilities of Excel will be prepared to develop a richer
understanding from their more advanced work.
Executives and managers hear or read headlines about recent
economic data nearly every business day. Most important economic
statistics are the products of programs designed to collect and
analyze data to report summary results at regular intervals.
Properly interpreted, these economic indicators provide useful
barometers for different aspects of the economy and identify trends
that aid better planning decisions. Economic indicators are
available at the national level, state level, and even the regional
and municipal level. This text focuses on economic indicators for
the overall U.S. economy, identifying major categories of economic
indicators and describing the key indicators in each of the
categories. The text will also provide guidance for interpreting
indicators expressed in terms of an index (which reports values as
percentage of a base period value) or in real dollar values (which
remove the impact of inflation.) Most key economic indicators are
reported promptly on the World Wide Web and provided as formatted
time series that can be readily downloaded and analyzed. The text
will include links to the sources for key economic indicators as
well as websites that maintain calendars of upcoming announcements
and consensus forecasts of the indicators shortly prior to a formal
announcement. This book is a companion to two other Business Expert
Press by the authors that address managerial economics and time
series data/forecasting. Together these books will equip the
manager and the student with a solid understanding of economic
indicators and how to analyze them.
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