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.

Audience

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.

Hardbound, 640 Pages

Published: January 2011

ISBN: 978-0-12-385208-3

## Contents

• 1.) INTRODUCTION: DEFINING THE ROLE OF STATISTICS IN BUSINESS
2.) DATA STRUCTURES: CLASSIFYING THE VARIOUS TYPES OF DATA SETS
3.) HISTOGRAMS: LOOKING AT THE DISTRIBUTION OF DATA
4.) LANDMARK SUMMARIES: INTERPRETING TYPICAL VALUES AND PERCENTILES
5.) VARIABILITY: DEALING WITH DIVERSITY
6.) PROBABILITY: UNDERSTANDING RANDOM SITUATIONS
7.) RANDOM VARIABLES: WORKING WITH UNCERTAIN NUMBERS
8.) RANDOM SAMPLING: PLANNING AHEAD FOR DATA GATHERING
9.) CONFIDENCE INTERVALS: ADMITTING THAT ESTIMATES ARE NOT EXACT
10.) HYPOTHESIS TESTING: DECIDING BETWEEN REALITY AND COINCIDENCE
11.) CORRELATION AND REGRESSION: MEASURING AND PREDICTING RELATIONSHIPS
12.) MULTIPLE REGRESSION: PREDICTING ONE FACTOR FROM SEVERAL OTHERS
13.) REPORT WRITING: COMMUNICATING THE RESULTS OF A MULTIPLE REGRESSION
14.) TIME SERIES: UNDERSTANDING CHANGES OVER TIME
15.) ANOVA: TESTING FOR DIFFERENCES AMONG MANY SAMPLES, AND MUCH MORE
16.) NONPARAMETRICS: TESTING WITH ORDINAL DATA OR NONNORMAL DISTRIBUTIONS
17.) CHI-SQUARED ANALYSIS: TESTING FOR PATTERNS IN QUALITATIVE DATA
18.) QUALITY CONTROL: RECOGNIZING AND MANAGING VARIATION
App A.)  EMPLOYEE DATABASE
App B.) DONATIONS DATABASE
App C.) SELF-TEST: SOLUTIONS TO SELECTED PROBLEMS AND DATABASE EXERCISES
App D.) STATISTICAL TABLES
App E.) STATPAD QUICK REFERENCE GUIDE