Business Statistics: For Contemporary Decision Making

Author:   Ken Black (University of Houston, Clear Lake, TX)
Publisher:   John Wiley & Sons Inc
Edition:   11th Revised edition
ISBN:  

9781119905448


Pages:   832
Publication Date:   23 May 2023
Format:   Loose-leaf
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Business Statistics: For Contemporary Decision Making


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Overview

Show students why business statistics is an increasingly important business skill through a student-friendly pedagogy. Business Statistics: For Contemporary Decision Making, 11th Edition uses current real-world data to equip students with the business analytics techniques and quantitative decision-making skills required to make smart decisions in today’s workplace.

Full Product Details

Author:   Ken Black (University of Houston, Clear Lake, TX)
Publisher:   John Wiley & Sons Inc
Imprint:   John Wiley & Sons Inc
Edition:   11th Revised edition
Dimensions:   Width: 21.30cm , Height: 3.10cm , Length: 27.40cm
Weight:   1.588kg
ISBN:  

9781119905448


ISBN 10:   1119905443
Pages:   832
Publication Date:   23 May 2023
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Loose-leaf
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

PREFACE vii 1 Introduction to Statistics and Business Analytics 1 2 Visualizing Data with Charts and Graphs 22 3 Descriptive Statistics 56 4 Probability 92 5 Discrete Distributions 132 6 Continuous Distributions 169 7 Sampling and Sampling Distributions 205 8 Statistical Inference: Estimation for Single Populations 236 9 Statistical Inference: Hypothesis Testing for Single Populations 269 10 Statistical Inferences About Two Populations 318 11 Analysis of Variance and Design of Experiments 372 12 Simple Regression Analysis and Correlation 427 13 Multiple Regression Analysis 477 14 Building Multiple Regression Models 504 15 Time-Series Forecasting and Index Numbers 551 16 Analysis of Categorical Data 605 17 Nonparametric Statistics 625 18 Statistical Quality Control 668 19 Decision Analysis 710 APPENDIX A Tables 743 APPENDIX B Answers to Selected Odd-Numbered Quantitative Problems 784 GLOSSARY 793 INDEX 801

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