This book provides a set of case studies that can supplement any
business statistics text. Developed at the Wharton School at the
University of Pennsylvania, it is used for the beginning statistics
course for MBA students. The casebook provides the latest in data
analysis techniques, and includes a discussion of JMP and Minitab
commands.
Providing an introduction to modern data analysis techniques, these
casebooks can be used as the primary or secondary text for
elementary business statistics courses. Statistics has the
reputation of being a boring, complicated, and confusing mix of
mathematical formulas accompanied by computers used to do
something. This casebook nad its companion volume Business Analysis
Usuing Regression change that impression by showing how statistics
gives insights and ansswers interesting business questions.
The material is organized into classes of related case studies that
develop a single key idea of statistics. The authors begin by
discussing an application that motivates the key idea. Students are
then shown how to analyze a data set. The emphasis of the analysis
is to answer important business questions with statistics rather
than talk about statistics.
Basic Business Statistics introduces ideas often not emphasized in
elementary texts such as issues of robustness, the use of
transformations to simplify problems, sampling bias, confounding,
kernel density, quality control, and scatterplot matrices. Business
Analysis with Regression includes a discussion of scatterplot
smoothing, prediction intervals for new observations, collinearity,
logistic regression, nonlinear models, and multiple comparisons in
regression.
The text includes directions for data analyses with JMP and an
appendix with Minitab commands.
Professors Dean P. Foster, Robert A. Stine, and Richard P. Waterman
are members of the Department of Statistics at the Wharton School,
University of Pennsylvania.
"The manuscripts are divided into "classes" which
tackle various statistical concepts. Material becomes increasingly
complex as the data in later sections exhibit multiple deviations
from ideal conditions. The casebooks use a combination of
explanatory text and software output to guide the student. Almost
no mathematics appears in these volumes; the authors make
traditional texts available to their students who are curious about
the technical details...I anticipate students will wholeheartedly
endorse the FSW casebooks. The material is easy to digest as, for
instance, the authors cleverly interweave probability, the standard
error of the mean, and control charts. The casebooks effectively
relay the message that statistics is relevant and doable. Ideally,
that is the message that should be sent in all introductory
business statistics courses." Marlene Smith, University of
Colorado-Denver
Ausstattung/Bilder: XVI, 244 p. w. numerous graphs.
Seitenzahl: 264
Best.Nr. des Verlages: 10646874
Englisch
Abmessung: 280mm x 210mm x 14mm
Gewicht: 626g
ISBN-13: 9780387983547
ISBN-10: 0387983546
Best.Nr.: 07529986
"The manuscripts are divided into "classes" which tackle various statistical concepts. Material becomes increasingly complex as the data in later sections exhibit multiple deviations from ideal conditions. The casebooks use a combination of explanatory text and software output to guide the student. Almost no mathematics appears in these volumes; the authors make traditional texts available to their students who are curious about the technical details...I anticipate students will wholeheartedly endorse the FSW casebooks. The material is easy to digest as, for instance, the authors cleverly interweave probability, the standard error of the mean, and control charts. The casebooks effectively relay the message that statistics is relevant and doable. Ideally, that is the message that should be sent in all introductory business statistics courses." Marlene Smith, University of Colorado-Denver
Inhaltsangabe
- Overview and Foundations - Statistical Summaries of Data - Sources of Variation - Standard Error - Confidence Intervals - Sampling - Making Decisions - Designing Tests for Better Comparisons - Confounding Effects in Tests: A Case Study - Covariance, Correlation, and Portfolios - A Preview of Regression.
