The Practice of Business Statistics Companion Chapter 17: Logistic Regression PDF Download
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Author: David S. Moore Publisher: Macmillan ISBN: 9780716757252 Category : Business & Economics Languages : en Pages : 52
Book Description
A new text for the business statistics course that gives students the tools they need to make data-informed, real-world business decisions from day one.
Author: David S. Moore Publisher: Macmillan ISBN: 9780716757252 Category : Business & Economics Languages : en Pages : 52
Book Description
A new text for the business statistics course that gives students the tools they need to make data-informed, real-world business decisions from day one.
Author: Layth C. Alwan Publisher: Macmillan Higher Education ISBN: 1319272657 Category : Mathematics Languages : en Pages : 2521
Book Description
With The Practice of Statistics for Business and Economics (PSBE), instructors can help students develop a working knowledge of data production and interpretation in a business and economics context, giving them the practical tools they need to make data-informed, real-world business decisions from the first day of class.
Author: David S. Moore Publisher: Macmillan ISBN: 1429242507 Category : Mathematics Languages : en Pages : 276
Book Description
This Solutions Manual provides solutions to odd-numbered text exercises along with summaries of the key concepts needed to solve the problems.
Author: American Bar Association. House of Delegates Publisher: American Bar Association ISBN: 9781590318737 Category : Law Languages : en Pages : 216
Book Description
The Model Rules of Professional Conduct provides an up-to-date resource for information on legal ethics. Federal, state and local courts in all jurisdictions look to the Rules for guidance in solving lawyer malpractice cases, disciplinary actions, disqualification issues, sanctions questions and much more. In this volume, black-letter Rules of Professional Conduct are followed by numbered Comments that explain each Rule's purpose and provide suggestions for its practical application. The Rules will help you identify proper conduct in a variety of given situations, review those instances where discretionary action is possible, and define the nature of the relationship between you and your clients, colleagues and the courts.
Author: David S. Moore Publisher: Macmillan Higher Education ISBN: 1429293578 Category : Mathematics Languages : en Pages : 1057
Book Description
This innovative textbook is designed to give students the tools they need to make data-informed, real-world business decisions practically from the first day of class, providing a foundation in data production and interpretation that supports their work throughout the course. Newly retitled The Practice of Statistics for Business and Economics to reflect the true scope of its coverage, this new third edition of the text is its most accomplish yet--a conceptually rich, mathematically accessible survey of basic statistical methods in a business/economics context that emphasizes working with data and mastering statistical reasoning.
Author: Joseph M. Hilbe Publisher: CRC Press ISBN: 1498709583 Category : Mathematics Languages : en Pages : 170
Book Description
Practical Guide to Logistic Regression covers the key points of the basic logistic regression model and illustrates how to use it properly to model a binary response variable. This powerful methodology can be used to analyze data from various fields, including medical and health outcomes research, business analytics and data science, ecology, fishe
Author: Roberto Rivera Publisher: John Wiley & Sons ISBN: 1119486416 Category : Mathematics Languages : en Pages : 688
Book Description
Introduces readers to the principles of managerial statistics and data science, with an emphasis on statistical literacy of business students Through a statistical perspective, this book introduces readers to the topic of data science, including Big Data, data analytics, and data wrangling. Chapters include multiple examples showing the application of the theoretical aspects presented. It features practice problems designed to ensure that readers understand the concepts and can apply them using real data. Over 100 open data sets used for examples and problems come from regions throughout the world, allowing the instructor to adapt the application to local data with which students can identify. Applications with these data sets include: Assessing if searches during a police stop in San Diego are dependent on driver’s race Visualizing the association between fat percentage and moisture percentage in Canadian cheese Modeling taxi fares in Chicago using data from millions of rides Analyzing mean sales per unit of legal marijuana products in Washington state Topics covered in Principles of Managerial Statistics and Data Science include:data visualization; descriptive measures; probability; probability distributions; mathematical expectation; confidence intervals; and hypothesis testing. Analysis of variance; simple linear regression; and multiple linear regression are also included. In addition, the book offers contingency tables, Chi-square tests, non-parametric methods, and time series methods. The textbook: Includes academic material usually covered in introductory Statistics courses, but with a data science twist, and less emphasis in the theory Relies on Minitab to present how to perform tasks with a computer Presents and motivates use of data that comes from open portals Focuses on developing an intuition on how the procedures work Exposes readers to the potential in Big Data and current failures of its use Supplementary material includes: a companion website that houses PowerPoint slides; an Instructor's Manual with tips, a syllabus model, and project ideas; R code to reproduce examples and case studies; and information about the open portal data Features an appendix with solutions to some practice problems Principles of Managerial Statistics and Data Science is a textbook for undergraduate and graduate students taking managerial Statistics courses, and a reference book for working business professionals.
Author: David S. Moore
Author: David S. Moore
Author: Fred Hoppe
Author: Layth C. Alwan
Author: David S. Moore
Author: David S. Moore
Author: David S. Moore
Author: American Bar Association. House of Delegates
Author: David S. Moore
Author: Joseph M. Hilbe
Author: Roberto Rivera