ISE Business Statistics and Analytics in Practice
9th Edition
126028784X
·
9781260287844
© 2019 | Published: October 1, 2018
Bowerman 9e covers both standard business statistics and business analytics topics and provides them in a clear presentation that is organized so that business analytics topics may be used or not used. Bowerman provides a continuous case throughout c…
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Chapter 1 An Introduction to Business Statistics and Analytics
Chapter 2 Descriptive Statistics and Analytics: Tabular and Graphical Methods
Chapter 3 Descriptive Statistics and Analytics: Numerical Methods
Chapter 4 Probability and Probability Models
Chapter 5 Predictive Analytics I: Trees, k-Nearest Neighbors, Naive Bayes’, and Ensemble Estimates
Chapter 6 Discrete Random Variables
Chapter 7 Continuous Random Variables
Chapter 8 Sampling Distributions
Chapter 9 Confidence Intervals
Chapter 10 Hypothesis Testing
Chapter 11 Statistical Inferences Based on Two Samples
Chapter 12 Experimental Design and Analysis of Variance
Chapter 13 Chi-Square Tests
Chapter 14 Simple Linear Regression Analysis
Chapter 15 Multiple Regression and Model Building
Chapter 16 Predictive Analytics II: Logis¬tic Regression, Discriminate Analysis, and Neural Networks
Chapter 17 Time Series Forecasting and Index Numbers
Chapter 18 Nonparametric Methods
Chapter 19 Decision Theory
Chapter 20 (Online) Process Improvement Using Control Charts for Website
Appendix A Statistical Tables
Appendix B (Online) Chapter by Chapter MegaStat Appendices
Chapter 2 Descriptive Statistics and Analytics: Tabular and Graphical Methods
Chapter 3 Descriptive Statistics and Analytics: Numerical Methods
Chapter 4 Probability and Probability Models
Chapter 5 Predictive Analytics I: Trees, k-Nearest Neighbors, Naive Bayes’, and Ensemble Estimates
Chapter 6 Discrete Random Variables
Chapter 7 Continuous Random Variables
Chapter 8 Sampling Distributions
Chapter 9 Confidence Intervals
Chapter 10 Hypothesis Testing
Chapter 11 Statistical Inferences Based on Two Samples
Chapter 12 Experimental Design and Analysis of Variance
Chapter 13 Chi-Square Tests
Chapter 14 Simple Linear Regression Analysis
Chapter 15 Multiple Regression and Model Building
Chapter 16 Predictive Analytics II: Logis¬tic Regression, Discriminate Analysis, and Neural Networks
Chapter 17 Time Series Forecasting and Index Numbers
Chapter 18 Nonparametric Methods
Chapter 19 Decision Theory
Chapter 20 (Online) Process Improvement Using Control Charts for Website
Appendix A Statistical Tables
Appendix B (Online) Chapter by Chapter MegaStat Appendices
Bowerman 9e covers both standard business statistics and business analytics topics and provides them in a clear presentation that is organized so that business analytics topics may be used or not used. Bowerman provides a continuous case throughout chapters and business analytics topics that allow students to use data for a more applied and practical approach. Featuring Connect, Smartbook, Guided examples, Algorithmic Problems and a Business Statistics, Math and Excel prep component, Bowerman is a perfect fit for the instructor who wants a Business Stats with Business Analytics focus.
The increasingly popular topic of Business Analytics has been added throughout the text.
All chapters have been revised with the most current information.
New optional Sections have been added to each chapter to further classroom discussions.
New Data sets have been added for several chapters
New and updated Continuing Case Studies that tie together different statistical topics: new case studies have been added to update the currency of the text and span individual chapters, as well as groups of chapters.
Connect Business Statistics is an online assignment and assessment tool proven to help students earn better grades and instructors optimize their time and energy. Connect Business Statistics gives instructors the power to create auto-graded assignments using material directly from the end of chapter material and test bank. Features of Connect include:
- Excel Data Sets which allow students to easily launch into Excel, work the problem, and return to Connect to key in the answer.
- Guided Examples: These narrated video walkthroughs provide students with step-by-step guidelines for solving selected exercises. The narrated voiceover shows the steps to take to work through an exercise.
- End of Chapter and Test Bank material
- Text Book content tagged by learning objective, Bloom's Taxonomy, AACSB criteria, difficulty level, and more
- Extensive reporting on above criteria
- Learning management system integration
New & Accessible Examples: Every topic has a new example. Most concepts and formulas, particularly those that introductory students find most challenging, are first approached by working through the ideas in accessible examples. Once students have a clear understanding from these examples, more general concepts and formulas are then discussed.
Increased emphasis on Excel and MINITAB: The main text features Excel and MINITAB outputs, while the end of chapter appendices provide improved step-by-step instructions about to how to perform statistical analysis using Excel and MINITAB, as well as MegaStat, and Excel add-in.
Business Improvement Conclusions that explicitly show how statistical results lead to practical business decisions: After appropriate analysis and interpretation, examples and case studies often result in a business improvement conclusion. To emphasize this theme of business improvement, new icons have been placed in the page margins to identify when statistical analysis has led to an important business conclusion. Each conclusion has been highlighted in yellow for additional attention.
Employ Real and/or Realistic examples, continuing case studies and a business improvement theme to teach the material.
A shorter and more intuitive introduction to business statistics in Chapter 1: Chapter 1 begins with an improved example introducing what data are and how they can be used to make a successful offer on a house. Random sampling is introduced informally in the context of more tightly focused case studies. Chapter 1 also includes a new discussion of ethical guidelines for practitioners of statistics.
McGraw-Hill Connect is an award-winning digital teaching and learning solution that empowers students to achieve better outcomes and enables instructors to improve course management efficiency.
High-Quality Course Material
Our trusted solutions are designed to help students actively engage in course content and develop critical higher-level thinking skills while offering you the flexibility to tailor your course to the ways you teach and the ways your students learn.
Assignments & Automatic Grading
Connect features a question bank that you can select from to create homework, practice tests and quizzes. Dramatically reduce the amount of time you spend reviewing homework and grading quizzes, freeing up your valuable time to spend on teaching.
Analytics & Reporting
Monitor progress and improve focus with Connect’s visual and actionable dashboards. Reports are available to empower both instructors and students with real-time performance analytics.
Seamless Integration
Link your Learning Management with Connect for single sign-on and gradebook synchronization, with all-in-one ease for you and your students.