RSCH08018 2020 Quantitative Techniques & Reporting
This module aims to give participants an in-depth understanding of essential quantitative approaches that can help businesses discover important information within their data and use this evidence to make informed business decisions. It is designed to form the participants within the key concepts and approaches of quantitative methods, various statistics techniques and reporting skills that will enable them to solve problems using business data. The module will address key areas, primary and secondary data, data management and software, sampling, survey design and metrics, descriptive and inferential statistics, and report writing.
On completion of this module the learner will/should be able to;
Critically evaluate the role of surveys, metrics, sampling techniques, exploratory and hypotheses based testing approaches within business reporting and decision making
Utilise computer software and spreadsheet functions for business data management
Perform both descriptive and inferential statistical analyses for both longitudinal and cross-sectional data, using both primary and secondary business data sets
Create statistical and written reports suitable for business decision making
Teaching and Learning Strategies
The student will engage with the content of the module through lectures and tutorials.
The student will develop and apply their learning through practical examples, reports and case studies.
Module Assessment Strategies
Business Research Report
Report based repeat assessment.
Introduction to Quantitative Techniques
Discovering quantitative techniques for business
Importance of business decision making
Evaluating the role of surveys and metrics
Identifying populations, samples and ethical procedures
Hypotheses testing approaches
Data management using software
Coding, cleaning, merging, protecting and managing data
Applying spreadsheet and statistical functions
Dealing with longitudinal and cross-sectional data files
Conducting descriptive and central tendency statistical analyses
Testing hypotheses with inferential statistics
Interpreting significance levels and associations
Reporting for business decision making
Report writing and presenting for the business audience
Utilising annotated statistical appendices
Using evidence for business implications and decision making
Coursework & Assessment Breakdown
|Title||Type||Form||Percent||Week||Learning Outcomes Assessed|
|1||Business Research Report||Continuous Assessment||Assessment||100 %||OnGoing||1,2,3,4|
Full Time Mode Workload
|Independent Learning||Not Specified||Independent Learning||4||Weekly||4.00|
Required & Recommended Book List
2019-10-28 Quantitative Analysis for Decision Makers, 7th Edition (Formally Known As Quantitative Methods for Decision Makers)
ISBN 1292276614 ISBN-13 9781292276618
Were you looking for the book with access to MyLab Math Global? This product is the book alone and does NOT come with access to MyLab Math Global. Students, if MyLab Math Global is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyLab Math Global should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information. There's no doubt that a manager's job is getting tougher. Do it better, do it faster, do it cheaper are the pressures every manager faces. And at the heart of every manager's job is decision-making: deciding what to do and how to do it. This well-respected text looks at how quantitative analysis techniques can be used effectively to support such decision making. As a manager, developing a good understanding of the quantitative analysis techniques at your disposal is crucial. Knowing how, and when, to use them and what their results really mean can be the difference between making a good or bad decision and, ultimately, between business success and failure. Appealing both to students on introductory-level courses and to MBA and postgraduate students, this internationally successful text provides an accessible introduction to a subject area that students often find difficult. Quantitative Analysis for Decision Makers (formerly known as Quantitative Methods for Decision Makers) helps students to understand the relevance of quantitative methods of analysis to management decision-making by relating techniques directly to real-life business decisions in public and private sector organisations and focuses on developing appropriate skills and understanding of how the techniques fit into the wider management process. Key features: The use of real data sets to show how analytical techniques are used in practice "QADM in Action" case studies illustrating how organisations benefit from the use of analytical techniques Articles from the Financial Times illustrating the use of such techniques in a variety of business settings Fully worked examples and exercises supported by Excel data sets Student Progress Check activities in each chapter with solutions A 300+ page Tutors Solutions Manual
2019-10-24 Business Statistics: A First Course, Global Edition
ISBN 1292320362 ISBN-13 9781292320366
This title is a Pearson Global Edition. The Editorial team at Pearson has worked closely with educators around the world to include content, which is especially relevant to students outside the United States. For one-semester business statistics courses. A focus on using statistical methods to analyze and interpret results to make data-informed business decisions Statistics is essential for all business majors, and Business Statistics: A First Course helps students see the role statistics will play in their own careers by providing examples drawn from all functional areas of business. Guided by the principles set forth by major statistical and business science associations (ASA and DSI), plus the authors' diverse experiences, the 8th Edition, Global Edition, continues to innovate and improve the way this course is taught to all students. With new examples, case scenarios, and problems, the text continues its tradition of focusing on the interpretation of results, evaluation of assumptions, and discussion of next steps that lead to data-informed decision making. The authors feel that this approach, rather than a focus on manual calculations, better serves students in their future careers. This brief offering, created to fit the needs of a one-semester course, is part of the established Berenson/Levine series. MyLab Business Statistics is not included. Students, if MyLab Business Statistics is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN. MyLab Business Statistics should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information. Reach every student by pairing this text with MyLab Business Statsitics MyLab(tm) is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab personalizes the learning experience and improves results for each student.
2014 Quantitative Methods for Business and Management Pearson
ISBN 0273770551 ISBN-13 9780273770558
This engaging introduction shows how quantitative techniques can be used to analyse the internal and external environments in which businesses and organisations operate, with a contemporary focus on business start-up, enterprise and entrepreneurial skills. Each chapter: * Applies a range of quantitative techniques to business decisions at all stages of the product life cycle * Focuses upon a particular business sector or sectors, including IT, retail sales, financial services, tourism, biotechnology, pharmaceuticals, leisure, entertainment and other sectors of a modern economy * Explores numerous real world applications, providing many opportunities for student interaction with the topic Quantitative Methods for Business and Management is perfect for any business and management undergraduate taking a first course in quantitative methods or its equivalent. It will also be ideal for those seeking to develop quantitative skills in a range of taught master's degrees. Stuart Wall is Professor of Business and Economics at the Ashcroft International Business School and teaches quantitative methods on a wide range of undergraduate, professional and postgraduate courses.He has extensive experience in applying these techniques, having acted as a consultant to local, regional and multinational companies, and having run his own business for many years. Chris Mitchell has taught quantitative methods to a wide range of students at undergraduate level, both in Business and in Science and Technology faculties. He is himself an entrepreneur, having launched his own successful sound-recognition software company, winning a business fellowship with Cisco Systems in the UK to develop his ideas further.
2013-11-01 Statistics for Management
ISBN 1292039930 ISBN-13 9781292039930
Appropriate for one or two term courses in introductory Business Statistics. With Statistics for Management, Levin and Rubin have provided a non-intimidating business statistics textbook that students can easily read and understand. Like its predecessors, the Seventh Edition includes the absolute minimum of mathematical/statistical notation necessary to teach the material. Concepts are fully explained in simple, easy-to-understand language as they are presented, making the text an excellent source from which to learn and teach. After each discussion, readers are guided through real-world examples to show how textbook principles work in professional practice.
2007 Quantitative Methods for Business Decisions Cengage Learning EMEA
ISBN 1844805743 ISBN-13 9781844805747
Using a rigorous exercise-based approach, this title provides in-depth guidance on how to apply to most widely-used statistical methods in business. Each chapter focuses on a selection of statistical techniques, illustrated with examples from across business, marketing, economics, accounting, finance and public administration.