2 edition of Quantitative methods for business decisions found in the catalog.
Quantitative methods for business decisions
1988 by Van Nostrand Reinhold .
Written in English
|Statement||Jon Curwin and Roger Slater. Teacher"s guide.|
|The Physical Object|
|Number of Pages||23|
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Software. An illustration of two photographs. Quantitative methods for business decisions by Curwin, Jon. Publication date A strong managerial orientation motivates learning by weaving pertinent, actual examples throughout that illustrate key situations where quantitative methods make a difference in decision making.
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Quantitative methods for business decisions by Jon Curwin, Roger Slater, unknown edition, If you own this book, you can mail it to our address below.
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Quantitative Methods: An Introduction for Business Management presents the application of quantitative mathematical modeling to decision making in a business management context.
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This revision of QUANTITATIVE METHODS FOR BUSINESS provides students with a conceptual understanding of the role that quantitative methods play in the decision-making process. This text describes the many quantitative methods that have been developed over the years, explains how they work, and shows how the decision-maker can apply and interpret data.
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This comprehensive text, now in its fifth edition, teaches the reader how to apply the most widely used statistical methods in business. The book gives you the how, what, where, when and why of numbers and book has twenty-five chapters divided into seven study areas.
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Read5(40). Decision Science Business StatisticsQuantitative Methods Quantitative Methods for Business Quantitative Methods for Business and Management: An Entrepreneurial Perspective. Stuart Wall, Anglia Ruskin University, Cambridge International Education Centre, Ealing, Hammersmith and West London College.
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Each chapter focuses on a selection of statistical techniques, illustrated with examples from across business, marketing, economics, accounting, finance, and. Explain and implement sample survey methods and data collection.
Distinguish between different data types. Tabulate, calculate and analyse descriptive statistical measures, while interpreting those statistical measures in a manner that aids business decision making.
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