Business Statistics Contemporary Decision Making

ISBN-10: 0470409010

ISBN-13: 9780470409015

Edition: 6th 2010

Authors: Ken Black

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Description:

Help your students see the light. With its myriad of techniques, concepts and formulas, business statistics can be overwhelming for many students. They can have trouble recognizing the importance of studying statistics, and making connections between concepts. Ken Black's fifth edition of Business Statistics: For Contemporary Decision Making helps students see the big picture of the business statistics course by giving clearer paths to learn and choose the right techniques. Here's how Ken Black helps students see the big picture: * Video Tutorials-In these video clips, Ken Black provides students with extra learning assistance on key difficult topics. Available in WileyPLUS. * Tree Taxonomy Diagram-Tree Taxonomy Diagram for Unit 3 further illustrates the connection between topics and helps students pick the correct technique to use to solve problems. * New Organization-The Fifth Edition is reorganized into four units, which will help professor teach and students see the connection between topics. * WileyPLUS-WilePLUS provides everything needed to create an environment where students can reach their full potential and experience the exhilaration of academic success. In addition to a complete online text, online homework, and instant feedback, WileyPLUS offers additional Practice Problems that give students the opportunity to apply their knowledge, and Decision Dilemma Interactive Cases that provide real-world decision-making scenarios. Learn more at www.wiley.co,/college/wileyplus.
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Book details

List price: $185.99
Edition: 6th
Copyright year: 2010
Publisher: John Wiley & Sons, Incorporated
Publication date: 11/10/2009
Binding: Hardcover
Pages: 864
Size: 8.50" wide x 11.00" long x 1.00" tall
Weight: 4.4
Language: English

Introduction
Introduction to Statistics
Charts and Graphs
Descriptive Statistics
Probability
Distributions and Sampling
Discrete Distributions
Continuous Distributions
Sampling and Sampling Distributions
Making Inferences about Population Parameters
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
Regression Analysis and Forecasting
Simple Regression Analysis and Correlation
Multiple Regression Analysis
Building Multiple Regression Models
Time-Series Forecasting and Index Numbers
Nonparametric Statistics and Quality
Analysis of Categorical Data
Nonparametric Statistics
Statistical Quality Control
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