• User-friendly, lively writing style.
• Separate writing chapter aids instructors in teaching how to explain
• Over 200 carefully-drawn charts and graphs show how to visualize data.
• Data mining is a theme that appears in many chapters, often featuring
a large database (included on the website) of characteristics of 20,000
potential donors to a worthy cause and the amount actually given in
response to a mailing.
• Many of the examples and problems in the sixth edition have been updated
with more recent data sets, and the ever-changing Internet continues to be
featured as a data source.
• Each chapter begins with an overview, showing why the subject is
important to business, and ends with a comprehensive summary, with
key words, questions, problems, database exercises, projects, and
cases in most chapters.
• All details are technically accurate (Professor Siegel has a PhD in Statistics
from Stanford University and has given presentations on exploratory data
analysis with its creator) while the book concentrates on the understanding
and use of statistics by managers.
• Features that have worked well for students and instructors in the first five
editions have been retained.
Practical Business Statistics, Sixth Edition, is a conceptual, realistic, and
matter-of-fact approach to managerial statistics that carefully maintains–but
does not overemphasize–mathematical correctness. The book offers a deep
understanding of how to learn from data and how to deal with uncertainty while
promoting the use of practical computer applications. This teaches present and
future managers how to use and understand statistics without an overdose of
technical detail, enabling them to better understand the concepts at hand and
to interpret results. The text uses excellent examples with real world data
relating to the functional areas within Business such as finance, accounting,
and marketing. It is well written and designed to help students gain a solid
understanding of fundamental statistical principles without bogging them down
with excess mathematical details.
This text is written for the introductory business/management statistics course offered for undergraduate students or Quantitative Methods in Management/ Analytics for Managers at the MBA level.