Skip to content

Business Statistics For Contemporary Decision Making

Spend $50 to get a free DVD!

ISBN-10: 0471789569

ISBN-13: 9780471789567

Edition: 5th 2008 (Revised)

Authors: Ken Black

List price: $221.95
Blue ribbon 30 day, 100% satisfaction guarantee!
what's this?
Rush Rewards U
Members Receive:
Carrot Coin icon
XP icon
You have reached 400 XP and carrot coins. That is the daily max!

Description:

Black makes the concepts of statistics much easier to understand by presenting them in the setting of business decision-making. This includes the use of real world examples, real business data and applications. The fifth edition has also been substantially revised and reorganized in order to group similar approaches, topics, and techniques more closely together. Each chapter offers a brief discussion about how the material fits into the larger scheme.
Customers also bought

Book details

List price: $221.95
Edition: 5th
Copyright year: 2008
Publisher: John Wiley & Sons, Incorporated
Publication date: 1/22/2007
Binding: Hardcover
Pages: 880
Size: 9.00" wide x 11.25" long x 1.25" tall
Weight: 4.048
Language: English

Introduction
Introduction to Statistics
Charts and Graphs
Descriptive Statistics
Probability
Distributions and Sampling
Discrete Distributions
Continuous Distributions
Sampling and Sampling Distributions
Unit III
Statistical Inference: Estimation for Single Populations
Statistical Inference: Hypothesis Testing for Single Populations
Statistical Inferences about Two Populations
Analysis of Variance and Design of Experiments
Analysis of Categorical Data
Nonparametric Statistics
Regression, Forecasting, and Quality: Relationships, Prediction, and Process Improvement
Simple Regression Analysis
Multiple Regression Analysis
Building Multiple Regression Models
Time-Series Forecasting and Index Numbers
Statistical Quality Control
Tables
Answers to Selected Odd-Numbered Quantitative Problems
Glossary
Index
The following materials are available at: www.wiley.com/college/black
Decision Analysis
Summation Notation
Derivation of Simple Regression Formulas for Slope and y Intercept
Advanced Exponential Smoothing