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Business Statistics: For Contemporary Decision Making 10th Edition, ISBN-13: 978-1119607458

$19.99

 

  • Author(s): Ken Black
  • Format: PDF
  • Size: 31 MB
  • 832 pages
  • ISBN-10: 1119607450
  • ISBN-13: 978-1119607458
  • Publisher: John Wiley & Sons; 10th edition (December 12, 2019)
  • Language: English

 

Description

Business Statistics continues the tradition of presenting and explaining the wonders of business statistics through a clear, complete, student-friendly pedagogy. In this 10th edition, author Ken Black 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.

Preface

1 Introduction to Statistics and Business Analytics

2 Visualizing Data with Charts and Graphs

3 Descriptive Statistics

4 Probability

5 Discrete Distributions

6 Continuous Distributions

7 Sampling and Sampling Distributions

8 Statistical Inference: Estimation for Single Populations

9 Statistical Inference: Hypothesis Testing for Single Populations

10 Statistical Inferences About Two Populations

11 Analysis of Variance and Design of Experiments

12 Simple Regression Analysis and Correlation

13 Multiple Regression Analysis

14 Building Multiple Regression Models

15 Time-Series Forecasting and Index Numbers

16 Analysis of Categorical Data

17 Nonparametric Statistics

18 Statistical Quality Control

19 Decision Analysis

Appendix A Tables

Appendix

Glossary B Answers to Selected Odd-Numbered Quantitative Problems

Index

  • NEW Business Analytics Coverage:  Helping the student understand business analytics and the role that business statistics plays in it, the 10th edition has infused the language of business analytics along with its definitions, approaches, and explanations throughout this course.
  • NEW Big Data Case:  Using data from the American Hospital Association, each chapter contains an activity asking students to perform several tasks using variables, samples, and data.
  • NEW Visualizing Time-Series Data Section:  helps students use historical data with measures taken over time to predict what might happen in the future.
  • Decision Dilemmas: Each course section is introduced with a real-world business vignette that presents a dilemma and related managerial or statistical questions. Solutions to these questions require the use of techniques presented in the section. A Decision Dilemma Solved feature concludes each section, giving students the opportunity to answer and discuss each question presented at the beginning of the section.
  • Thinking Critically About Statistics in Business Today Exercises: Each course section features one or several of these exercises that give real-life examples of how the statistics presented in the section apply in the business world today.
  • EXPANDED Databases: Twenty databases representing several industries including banking, consumer spending, energy, environmental, finance, manufacturing, healthcare, market research, retailing, stocks and more provide additional opportunities for students to apply the statistics presented in each chapter.
  • NEW Big Data Case:  Using data from the American Hospital Association, each chapter contains an activity asking students to perform several tasks using variables, samples, and data.
  • NEW Visualizing Time-Series Data Section:  helps students use historical data with measures taken over time to predict what might happen in the future.
  • Ethical Considerations: This feature in each course section integrates the topic of ethics with applications of business statistics.
  • Tree Taxonomy Diagrams: These diagrams illustrate the connection between topics and techniques and the ability to see the big picture of inferential statistics.
  • Section Reorganization Options: This course was designed to allow for both one- and two-semester coverage.
  • 900+ Practice Problems: A treasury of practice problems are available in this course.

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