Statistics Made Simple for School Leaders

2002-10-16
Statistics Made Simple for School Leaders

PDF Statistics Made Simple for School Leaders Download

  • Author: Susan Rovezzi Carroll
  • Publisher: R&L Education
  • ISBN: 146165419X
  • Category : Education
  • Languages : en
  • Pages : 162

The chief executive officer of a corporation is not much different from a public school administrator. While CEOs base many of their decisions on data, for school administrators, this type of research may conjure up miserable memories of searching for information to meet a graduate school requirement. However, the value of data-based decision making will continue to escalate and the school community—students, teachers, parents and the general public—expect this information to come from their administrators. Administrators are called on to be accountable, but few are capable of presenting the mountain of data that they collect in a cohesive and strategic manner. Most statistical books are focused on statistical theory versus application, but Statistics Made Simple for School Leaders presents statistics in a simple, practical, conceptual, and immediately applicable manner. It enables administrators to take their data and manage it into strategic information so the results can be used for action plans that benefit the school system. The approach is 'user friendly' and leaves the reader with a confident can-do attitude to communicate results and plans to staff and the community.

BUSINESS STATISTICS & ANALYTICS FOR DECISION MAKING: Made Simple

BUSINESS STATISTICS & ANALYTICS FOR DECISION MAKING: Made Simple

PDF BUSINESS STATISTICS & ANALYTICS FOR DECISION MAKING: Made Simple Download

  • Author: Dr. Mukul Burghate I Dr. Padmakar Shahare
  • Publisher: mukul burghate
  • ISBN:
  • Category : Antiques & Collectibles
  • Languages : en
  • Pages : 140

The analysis of statistics in business for better decision making is nowadays called Big Data Analytics."Big data analytics refers to the process of collecting, organizing and analyzing large sets of data (called big data) to discover patterns and other useful information. Big data analytics can help organizations to better understand the information contained within the data and will also help identify the data that is most important to the business and future business decisions. Analysts working with big data basically want the knowledge that comes from analyzing the data."The purpose of this textbook is to present an introduction to the BUSINESS STATISTICS & ANALYTICS FOR DECISION MAKING subject of Management & Commerce. The book contains the syllabus from basics of the subjects going into the intricacies of the subjects. All the concepts have been explained with relevant Numerals, examples and diagrams to make it interesting for the readers.An attempt is made here by the experts to assist the students by way of providing Study Material as per the curriculum with non-commercial considerations. However, it is implicit that these are exam-oriented Study Material and students are advised to attend regular lectures in the Institute and utilize reference books available in the library for In-depth knowledge.We owe to many websites and their free contents; we would like to specially acknowledge contents of website www.wikipedia.com and various authors whose writings formed the basis for this book. We acknowledge our thanks to them. At the end we would like to say that there is always a room for improvement in whatever we do. We would appreciate any suggestions regarding this study material from the readers so that the contents can be made more interesting and meaningful. Readers can email their queries and doubts to our authors on [email protected]. We shall be glad to help you immediately. Authors: Dr Mukul Burghate and Dr Padmakar Shahare

Business Analytics for Decision Making

2018-09-03
Business Analytics for Decision Making

PDF Business Analytics for Decision Making Download

  • Author: Steven Orla Kimbrough
  • Publisher: CRC Press
  • ISBN: 1315362597
  • Category : Business & Economics
  • Languages : en
  • Pages : 308

Business Analytics for Decision Making, the first complete text suitable for use in introductory Business Analytics courses, establishes a national syllabus for an emerging first course at an MBA or upper undergraduate level. This timely text is mainly about model analytics, particularly analytics for constrained optimization. It uses implementations that allow students to explore models and data for the sake of discovery, understanding, and decision making. Business analytics is about using data and models to solve various kinds of decision problems. There are three aspects for those who want to make the most of their analytics: encoding, solution design, and post-solution analysis. This textbook addresses all three. Emphasizing the use of constrained optimization models for decision making, the book concentrates on post-solution analysis of models. The text focuses on computationally challenging problems that commonly arise in business environments. Unique among business analytics texts, it emphasizes using heuristics for solving difficult optimization problems important in business practice by making best use of methods from Computer Science and Operations Research. Furthermore, case studies and examples illustrate the real-world applications of these methods. The authors supply examples in Excel®, GAMS, MATLAB®, and OPL. The metaheuristics code is also made available at the book's website in a documented library of Python modules, along with data and material for homework exercises. From the beginning, the authors emphasize analytics and de-emphasize representation and encoding so students will have plenty to sink their teeth into regardless of their computer programming experience.

Business Statistics for Contemporary Decision Making

2023-05-08
Business Statistics for Contemporary Decision Making

PDF Business Statistics for Contemporary Decision Making Download

  • Author: Ignacio Castillo
  • Publisher: John Wiley & Sons
  • ISBN: 1119983223
  • Category :
  • Languages : en
  • Pages : 850

Show students why business statistics is an increasingly important business skill through a student-friendly pedagogy. In this fourth Canadian edition of Business Statistics For Contemporary Decision Making authors Ken Black, Tiffany Bayley, and Ignacio Castillo 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.

Business Statistics Analytics for Decision Making

2006
Business Statistics Analytics for Decision Making

PDF Business Statistics Analytics for Decision Making Download

  • Author: Alan H. Kvanli
  • Publisher:
  • ISBN: 9780495984948
  • Category :
  • Languages : en
  • Pages :

Management Decision-Making, Big Data and Analytics

2020-10-12
Management Decision-Making, Big Data and Analytics

PDF Management Decision-Making, Big Data and Analytics Download

  • Author: Simone Gressel
  • Publisher: SAGE
  • ISBN: 1529738288
  • Category : Business & Economics
  • Languages : en
  • Pages : 354

Accessible and concise, this exciting new textbook examines data analytics from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The book successfully combines theory with practical application, featuring case studies, examples and a ‘critical incidents’ feature that make these topics engaging and relevant for students of business and management. The book features chapters on cutting-edge topics, including: • Big data • Analytics • Managing emerging technologies and decision-making • Managing the ethics, security, privacy and legal aspects of data-driven decision-making The book is accompanied by an Instructor’s Manual, PowerPoint slides and access to journal articles. Suitable for management students studying business analytics and decision-making at undergraduate, postgraduate and MBA levels.

Data Science for Business and Decision Making

2019-04-11
Data Science for Business and Decision Making

PDF Data Science for Business and Decision Making Download

  • Author: Luiz Paulo Fávero
  • Publisher: Academic Press
  • ISBN: 0128112174
  • Category : Business & Economics
  • Languages : en
  • Pages : 1240

Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the importance of regression, optimization and simulation for practitioners of business analytics. Each chapter uses a didactic format that is followed by exercises and answers. Freely-accessible datasets enable students and professionals to work with Excel, Stata Statistical Software®, and IBM SPSS Statistics Software®. Combines statistics and operations research modeling to teach the principles of business analytics Written for students who want to apply statistics, optimization and multivariate modeling to gain competitive advantages in business Shows how powerful software packages, such as SPSS and Stata, can create graphical and numerical outputs

Business Analytics

2020
Business Analytics

PDF Business Analytics Download

  • Author: S. Christian Albright
  • Publisher:
  • ISBN: 9789814878180
  • Category : Decision making
  • Languages : en
  • Pages : 882

Statistics for Business

2015-08-17
Statistics for Business

PDF Statistics for Business Download

  • Author: Robert Stine
  • Publisher: Pearson
  • ISBN: 013442445X
  • Category : Business & Economics
  • Languages : en
  • Pages : 864

In Statistics for Business: Decision Making and Analysis, authors Robert Stine and Dean Foster of the University of Pennsylvania’s Wharton School, take a sophisticated approach to teaching statistics in the context of making good business decisions. The authors show students how to recognize and understand each business question, use statistical tools to do the analysis, and how to communicate their results clearly and concisely. In addition to providing cases and real data to demonstrate real business situations, this text provides resources to support understanding and engagement. A successful problem-solving framework in the 4-M Examples (Motivation, Method, Mechanics, Message) model a clear outline for solving problems, new What Do You Think questions give students an opportunity to stop and check their understanding as they read, and new learning objectives guide students through each chapter and help them to review major goals. Software Hints provide instructions for using the most up-to-date technology packages. The Second Edition also includes expanded coverage and instruction of Excel® 2010.

Business Analytics for Managers

2011-09-08
Business Analytics for Managers

PDF Business Analytics for Managers Download

  • Author: Wolfgang Jank
  • Publisher: Springer Science & Business Media
  • ISBN: 9781461404064
  • Category : Business & Economics
  • Languages : en
  • Pages : 189

The practice of business is changing. More and more companies are amassing larger and larger amounts of data, and storing them in bigger and bigger data bases. Consequently, successful applications of data-driven decision making are plentiful and increasing on a daily basis. This book will motivate the need for data and data-driven solutions, using real data from real business scenarios. It will allow managers to better interact with personnel specializing in analytics by exposing managers and decision makers to the key ideas and concepts of data-driven decision making. Business Analytics for Managers conveys ideas and concepts from both statistics and data mining with the goal of extracting knowledge from real business data and actionable insight for managers. Throughout, emphasis placed on conveying data-driven thinking. While the ideas discussed in this book can be implemented using many different software solutions from many different vendors, it also provides a quick-start to one of the most powerful software solutions available. The main goals of this book are as follows: to excite managers and decision makers about the potential that resides in data and the value that data analytics can add to business processes and provide managers with a basic understanding of the main concepts of data analytics and a common language to convey data-driven decision problems so they can better communicate with personnel specializing in data mining or statistics.