Basic Statistical Ideas for Managers

David Hildebrand, R. Lyman Ott, J. Brian Gray - Collection Brooks/Cole

772 pages, parution le 13/07/2004 (2^eme édition)

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Résumé

Designed for the one-term MBA or undergraduate introduction to business statistics course, this text places emphasis on data and the common techniques and methods used to analyze them in business. It introduces concepts using practical examples and illustrates them with computer output from MINITAB, Excel, and JMP. The book integrates a business decision-making case into each chapter for motivational and illustration purposes and includes a business case assignment at the end of each chapter. These cases revolve around realistic business settings with realistic data sets that put students in the role of managers who need to make business decisions based on data. Review problems requiring students to use previously learned concepts also appear throughout to promote understanding of the relationships among statistical methods.

Features

Statistical thinking for decision-making purposes is the primary focus of the text rather than mechanical application of formulas and methods.
The text is not tied to any particular software. A variety of computer packages are used to analyze data, including Excel, MINITAB, JMP, and others.
Difficult concepts are presented with clarity and technical precision.
Three full chapters covering regression methods give business students ample exposure to this important, practical topic.
Quality and productivity concepts and techniques are integrated throughout the text.

L'auteur - David Hildebrand

David Hildebrand - Late of the Wharton School, University of Pennsylvania

L'auteur - R. Lyman Ott

R. Lyman Ott - Global Development Management, Hoechst Marion Roussel

L'auteur - J. Brian Gray

J. Brian Gray - The University of Alabama

Sommaire

Making sense of data
Summarizing data
A first look at probability
Random variables and probability distribution
Some special probability distributions
Random sampling and sampling distrubtions
Point interval estimation
Hypothesis testing
Comparing two samples
Analysis of variance and designed experiments
Linear regression and correlation methods
Multiple regression methods
Constructing a multiple regression model

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Thomson
Auteur(s)	David Hildebrand, R. Lyman Ott, J. Brian Gray
Collection	Brooks/Cole
Parution	13/07/2004
Édition	2^eme édition
Nb. de pages	772
Format	20,5 x 26
Couverture	Relié
Poids	1650g
Intérieur	Noir et Blanc
EAN13	9780534378059
ISBN13	978-0-534-37805-9