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By providing a framework for solving statistical problems, this eighth Australian and New Zealand edition of Business Statistics teaches skills that students can use throughout their career. The book shows how to analyse data effectively by focusing on the relationship between the kind of problem being faced, the type of data involved and the appropriate statistical technique for solving the problem. Business Statistics emphasises applications over theory. It illustrates how vital statistical methods and tools are for today's managers and analysts, and how to apply them to business problems using real-world data. Using a proven three-step Identify-Compute-Interpret (ICI) approach to problem solving, the text shows students how to: 1. IDENTIFY the correct statistical technique by focusing on the problem objective and data type; 2. COMPUTE the statistics doing them by hand and using Excel; and 3. INTERPRET results in the context of the problem. This unique approach enhances comprehension and practical skills. The text's vast assortment of data-driven examples, exercises and cases covers the various functional areas of business, demonstrating the statistical applications that marketing managers, financial analysts, accountants, economists and others use. Completely up-to-date and with a NEW XLStat analysis plugin/tool, the eighth edition offers comprehensive coverage, current examples and an increased focus on applications in the real world. Premium online teaching and learning tools are available on the MindTap platform. Learn more about the online tools cengage.com.au/mindtap
Statistical data analysis is the backbone of sound business decision making, and finding the right tool to analyse a particular business problem is the key. By learning the fundamentals of statistical reasoning and data analysis, you will be on the way to becoming a better manager, analyst or economist. By providing a framework for solving statistical problems, this seventh Australian and New Zealand edition of Business Statistics teaches skills that you can use throughout your career. The book shows you how to analyse data effectively by focusing on the relationship between the kind of problem you face, the type of data involved and the appropriate statistical technique for solving the problem. Business Statistics emphasises applications over theory. It illustrates how vital statistical methods and tools are for today's managers and analysts, and how to apply them to business problems using real-world data. Using a proven three-step Identify-Compute-Interpret (ICI) approach to problem solving, the text teaches you how to: 1. IDENTIFY the correct statistical technique by focusing on the problem objective and data type; 2. COMPUTE the statistics doing them by hand and using Excel; and 3. INTERPRET results in the context of the problem. This unique approach enhances comprehension and practical skills. The text's vast assortment of data-driven examples, exercises and cases covers the various functional areas of business, demonstrating the statistical applications that marketing managers, financial analysts, accountants, economists and others use. Completely up-to-date, the seventh edition offers comprehensive coverage, current examples and an increased focus on applications in the real world.
Statistical data analysis is the backbone of sound business decision making. Finding the right tool to analyse a particular business problem is the key to such problem solving. Learning the fundamentals of statistical reasoning and data analysis - you will be on the way to becoming a better manager, analyst or economist.By providing a framework for solving statistical problems, this sixth edition of Australian Business Statistics teaches skills that you can use throughout your career. The book shows you how to analyse data effectively by focusing on the relationship between the kind of problem you face, the type of data involved and the appropriate statistical technique for solving the problem.Business Statistics 6e, emphasizes applications over theory. It illustrates how vital statistical methods and tools are for today's managers and analysts and how to apply them to business problems using real-world data. Using a proven three-step Identify-Compute-Interpret (ICI) approach to problem solving, the text teaches you how to (1) IDENTIFY the correct statistical technique by focusing on the problem objective and data type; (2) COMPUTE the statistics doing them by hand and using Excel; and (3) INTERPRET results in the context of the problem. This unique approach enhances your comprehension and practical skills. The text's vast assortment of data-driven examples, exercises, and cases covers the various functional areas of business, demonstrating the statistical applications that marketing managers, financial analysts, accountants, economists, and others use. Learning resources such as CourseMate maximize study time to help you achieve the results you want. Completely up-to-date, the sixth edition offers comprehensive coverage, current examples, and an increased focus on applications in the real world.
Statistical data analysis is the backbone of sound business decision making, and finding the right tool to analyse a particular business problem is the key. By learning the fundamentals of statistical reasoning and data analysis, you will be on the way to becoming a better manager, analyst or economist.By providing a framework for solving statistical problems, this seventh Australian and New Zealand edition of Business Statistics teaches skills that you can use throughout your career. The book shows you how to analyse data effectively by focusing on the relationship between the kind of problem you face, the type of data involved and the appropriate statistical technique for solving the problem.Business Statistics emphasises applications over theory. It illustrates how vital statistical methods and tools are for today's managers and analysts, and how to apply them to business problems using real-world data. Using a proven three-step Identify-Compute-Interpret (ICI) approach to problem solving, the text teaches you how to: 1. IDENTIFY the correct statistical technique by focusing on the problem objective and data type; 2. COMPUTE the statistics doing them by hand and using Excel; and 3. INTERPRET results in the context of the problem. This unique approach enhances comprehension and practical skills. The text's vast assortment of data-driven examples, exercises and cases covers the various functional areas of business, demonstrating the statistical applications that marketing managers, financial analysts, accountants, economists and others use. Learning resources such as CourseMate maximise study time to help you achieve the results you want. Completely up-to-date, the seventh edition offers comprehensive coverage, current examples and an increased focus on applications in the real world.
Lewis’s Medical-Surgical Nursing has long been considered a comprehensive and reliable resource for nursing students preparing for their transition into clinical practice. This sixth edition has been fully updated to incorporate the latest research, data, current clinical practice, procedures and guidelines. The text addresses core skills and knowledge that students need to pass their exams and go on to provide expert clinical care. It prepares nurses to assess patients, understand underlying diseases and their signs and symptoms, and go on to plan and deliver care. The text encourages readers to develop their clinical reasoning and problem-solving skills in order to apply theory to their work. This edition has been produced by leading expert nursing academics and clinicians who bring a strengthened focus on inclusion and diversity. Provides a person-centred holistic approach to patient assessment and care. Complex concepts are illustrated with figures, tables, summaries and reflections of best practice. Case studies throughout—based on real-life medical-surgical scenarios—help students to apply theory to real life. Clinical practice features offer practical guidance for students. Underpinned by the nursing process framework. Instructor resources on Evolve: Image collection PowerPoint slides Student and Instructor resources on Evolve: Answer guidelines for clinical reasoning questions in case studies Student case studies Fluids and electrolytes tutorial eNursing Care Plans Clinical Cases Case Study Review questions and answers with answer rationale Conceptual Care Map Creato Refreshed and up-to-date evidence, statistics, standards and procedures. Updated chapters on the deteriorating patient and advanced life support to reflect recent international (ILCOR) and national (ARC) practice guidelines. New chapter on caring for individuals with intellectual disability and autism. Increased focus throughout on culturally safe care that aims to improve access to services and improved health outcomes for Maori, Aboriginal and Torres Strait Islander people. Focus on the impact of COVID-19. Enhanced content on gender equity, mental health, intellectual disability and autism, harm minimisation for people experiencing the effects of alcohol and other drugs, patient safety and nurses’ wellbeing and safety at work. Updated Evolve resources for students and instructors
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.
This practical guide shows researchers how to tap the Internet for statistics about companies, markets, and industries; how to organize and present statistics; and how to evaluate them for reliability.
Marketing Research 4th Asia-Pacific edition continues to equip students with the knowledge and skills required to successfully undertake marketing research.Combining a solid theoretical foundation with a practical, step-by-step approach, the marketing research process is explored through a learning model that is constantly reinforced throughout the text.Using a raft of contemporary local and international examples, data sets and case studies to explain traditional marketing research methods, Marketing Research also examines new theories and techniques. To reflect emerging industry practices, each stage of research reporting is detailed, as well as a range of presentation methodologies. This edition of Marketing Research continues to integrate Qualtrics, a robust and easy-to-use online survey tool that provides students with a platform for designing, distributing and evaluating survey results, to strengthen its 'learning by doing' approach. For analysing data, the text covers both SPSS and EXCEL outputs. This text is indispensable for students studying marketing research in any business or marketing course.
This edited volume is brought out from the contributions of the research papers presented in the International Conference on Data Science and Business Analytics (ICDSBA- 2017), which was held during September 23-25 2017 in ChangSha, China. As we all know, the field of data science and business analytics is emerging at the intersection of the fields of mathematics, statistics, operations research, information systems, computer science and engineering. Data science and business analytics is an interdisciplinary field about processes and systems to extract knowledge or insights from data. Data science and business analytics employ techniques and theories drawn from many fields including signal processing, probability models, machine learning, statistical learning, data mining, database, data engineering, pattern recognition, visualization, descriptive analytics, predictive analytics, prescriptive analytics, uncertainty modeling, big data, data warehousing, data compression, computer programming, business intelligence, computational intelligence, and high performance computing among others. The volume contains 55 contributions from diverse areas of Data Science and Business Analytics, which has been categorized into five sections, namely: i) Marketing and Supply Chain Analytics; ii) Logistics and Operations Analytics; iii) Financial Analytics. iv) Predictive Modeling and Data Analytics; v) Communications and Information Systems Analytics. The readers shall not only receive the theoretical knowledge about this upcoming area but also cutting edge applications of this domains.