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Make some headway in the notoriously tough subject of business statistics Business Statistics For Dummies helps you understand the core concepts and principles of business statistics, and how they relate to the business world. This book tracks to a typical introductory course offered at the undergraduate, so you know you'll find all the content you need to pass your class and get your degree. You'll get an introduction to statistical problems and processes common to the world of global business and economics. Written in clear and simple language, Business Statistics For Dummies gives you an introduction to probability, sampling techniques and distributions, and drawing conclusions from data. You'll also discover how to use charts and graphs to visualize the most important properties of a data set. Grasp the core concepts, principles, and methods of business statistics Learn tricky concepts with simplified explanations and illustrative graphs See how statistics applies in the real world, thanks to concrete examples Read charts and graphs for a better understanding of how businesses operateBusiness Statistics For Dummies is a lifesaver for students studying business at the college level. This guide is also useful for business professionals looking for a desk reference on this complicated topic.

This 2nd edition compendium contains and explains essential statistical formulas within an economic context. Expanded by more than 100 pages compared to the 1st edition, the compendium has been supplemented with numerous additional practical examples, which will help readers to better understand the formulas and their practical applications. This statistical formulary is presented in a practice-oriented, clear, and understandable manner, as it is needed for meaningful and relevant application in global business, as well as in the academic setting and economic practice.The topics presented include, but are not limited to: statistical signs and symbols, descriptive statistics, empirical distributions, ratios and index figures, correlation analysis, regression analysis, inferential statistics, probability calculation, probability distributions, theoretical distributions, statistical estimation methods, confidence intervals, statistical testing methods, the Peren-Clement index, and the usual statistical tables.Given its scope, the book offers an indispensable reference guide and is a must-read for undergraduate and graduate students, as well as managers, scholars, and lecturers in business, politics, and economics.

This compendium contains and explains essential statistical formulas within an economic context. A broad range of aids and supportive examples will help readers to understand the formulas and their practical applications. This statistical formulary is presented in a practice-oriented, clear, and understandable manner, as it is needed for meaningful and relevant application in global business, as well as in the academic setting and economic practice.The topics presented include, but are not limited to: statistical signs and symbols, descriptive statistics, empirical distributions, ratios and index figures, correlation analysis, regression analysis, inferential statistics, probability calculation, probability distributions, theoretical distributions, statistical estimation methods, confidence intervals, statistical testing methods, the Peren-Clement index, and the usual statistical tables.Given its scope, the book offers an indispensable reference guide and is a must-read for undergraduate and graduate students, as well as managers, scholars, and lecturers in business, politics, and economics.

Business Analytics in Context: An Introduction to Methodologies is an essential resource for any student undertaking a business/management degree. Providing you with the mathematical and statistical skills that you will need during your studies, Dr Gareth Woods uses his extensive experience of teaching students requiring additional support to understand key mathematical concepts, to deliver an engaging and accessible text structured around your learning journey from understanding basic concepts, such as algebra, through to applying more advanced techniques including differentiation and optimisation. Each topic is introduced using a business start-up case study, providing context and showing you how mathematical methods apply to real-life examples. Exercises throughout the book allow you to test your own understanding of the topics covered, and at the end of each chapter you will have the opportunity to apply what you have learnt to a scenario that might be encountered in a professional work environment. The book is supported by online diagnostic tests that allow you to build confidence in using the methodologies contained in the book, prepare for exams and, where needed, to seek further targeted support from your instructors in specific areas to help you progress. Online instructional videos are also provided to further illustrate key concepts and to facilitate self-study. The content is presented in a work-book style, and space has been provided in the book to allow you to make notes and work through the end of chapter questions. The book then becomes a reference for you as you progress through your studies, and on into professional life. Being able to show your workings to the support staff working in your university's learning development centre, will help them to address your mathematics support needs quickly and efficiently. Beyond your studies, applicants for graduate positions are often expected to sit psychometric numerical reasoning tests, and having this book as a reference to prepare for and pass these tests would be invaluable in helping you secure that position. In creating this learning resource, careful consideration has been given to how the online resources integrate with the book to ensure a structured approach to navigating through the content, allowing you to build your confidence in applying the mathematical techniques shown. The learning pathway has been developed so that there are no dead-ends if you find yourself struggling to grasp a particular concept or technique. Mathematics can be a daunting subject for many, and so particular attention has been given to directing you back to content that you may need to engage with again and understand in order to progress further. An illustration of how the this has been achieved can be found in the front of the book.

The concepts of mathematics and statistics applied to business in order to record and manage the operations of a company fall under the discipline of business mathematics and statistics. This book is a valuable compilation of topics, ranging from the basic to the most advanced concepts in this field.

The present book, is the thoroughly revised Fifteenth edition in conformity. The text has been divided into two modules (Business Mathematics and Statistics) with multiple choice questions added to each of them aplenty.

The application of mathematical and statistical concepts like algebra, geometry, probability, etc. in order to solve business problems is referred to as business mathematics and statistics. This book aims to elucidate the most innovative aspects of this field.

Das Lehr- & Lernbuch für Wirtschaftswissenschaftler mit Aufgaben und Lösungen. Anhand von Praxisbeispielen aus der BWL und zahlreichen Anwendungen werden alle Inhalte vermittelt, die in den Pflichtvorlesungen zur Mathematik für Wirtschaftsinformatiker und Betriebswirtschaftler thematisiert werden, wie Finanzmathematik, Extremwertberechnung und Lineare Algebra. Um dieses Wissen verständlich zu vermitteln, werden die gängigen Methoden vom Autor ausführlich beleuchtet, damit der Lernende in die Lage versetzt wird, die vorgestellten Modelle zu analysieren, weiterzuentwickeln und an die eigenen Erfordernisse anzupassen. Die Verständnisfragen und Aufgaben mit Lösungen zu jedem Kapitel, erleichtern es dem Studierenden, die eigenen Fortschritte zu überprüfen und Wissenslücken aufzuspüren. Klausuraufgaben mit angegebener Gewichtung helfen die Prüfungssituation zu simulieren. Abgerundet wird das Lehrbuch durch ein Repetitorium Schulmathematik, durch das die wichtigsten Grundlagen aufgefrischt werden können.

Students at higher education level in management are required to understand and apply statistical tools and techniques. This book is attempted to make the readers better understand business statistics using Microsoft Excel, which is a popular statistical tool used among the teaching fraternity and widely used by researchers and business analysts. In each chapter, problems are solved with the use of computer. Performing statistical tests using excel is essential today. With this as prime focus, all the chapters are discussed with practical approach.

Statistics for Business explains the fundamentals of statistical analysis in a lucid, pragmatic way. A thorough knowledge of statistics is essential for decision making in all corners of business and management. By collecting, organizing and analyzing statistical data you can express what you know, benchmark your current situation, and estimate future outcomes.Based entirely on Microsoft Excel, this book covers a spectrum of statistic fundamentals from basic principles, to probability, sampling, hypothesis testing, forecasting, statistical process control and six-sigma management. This second edition is packed with features to aid understanding and help ensure that every aspect of your knowledge of statistics is applicable to practice, including: Icebreakers introducing each chapter that relate statistics to the real world, drawn from management and hospitality situations Detailed worked examples in each chapter Over 140 case-exercises complete with objective, situation, requirements, and answers A complete glossary of key terminology and formulas, mathematical relationships, and Excel relationships and functions A brand new companion website containing slides, worked-out-solutions to the case-exercises, and a test bank [coming soon] With a clear and accessible style this book makes statistics easier to understand. It is ideal for business, management, tourism and hospitality students who want to learn how to apply statistics to the real world.

This textbook introduces readers to practical statistical issues by presenting them within the context of real-life economics and business situations. It presents the subject in a non-threatening manner, with an emphasis on concise, easily understandable explanations. It has been designed to be accessible and student-friendly and, as an added learning feature, provides all the relevant data required to complete the accompanying exercises and computing problems, which are presented at the end of each chapter. It also discusses index numbers and inequality indices in detail, since these are of particular importance to students and commonly omitted in textbooks. Throughout the text it is assumed that the student has no prior knowledge of statistics. It is aimed primarily at business and economics undergraduates, providing them with the basic statistical skills necessary for further study of their subject. However, students of other disciplines will also find it relevant.

The new edition of this highly successful and popular textbook is a comprehensive, easy-to-follow guide to using and interpreting all the quantitative techniques that students will encounter in their later business and financial careers; from fundamental principles through to more advanced applications. Topics are explained in a clear, friendly step-by-step style, accompanied by examples, exercises and activities, making the text ideal for self-tuition or for the student with no experience or confidence in working with numbers. This highly successful learning-by-doing approach, coupled with the book's clear structure, will enable even the most maths-phobic student to understand these essential mathematical skills. Comprehensive in both its scope of coverage and the range of abilities it caters for, this remains a core textbook for undergraduate students of business, management and finance, for whom Quantitative Methods modules will be a key component. It will also appeal to those on related MBA and postgraduate courses.New to this Edition:- Business Modelling'Moving on...'feature with integrated web and book activities to promote student engagement with the application of mathematical techniques in real-life workplaces- Extensive revamp of two Statistics chapters based on student and lecturer feedback- Crucial updated practical guides to using Excel and SPSS- Integrated companion website resources helps relate theory to real world examplesAccompanying online resources for this title can be found at bloomsburyonlineresources.com/quantitative-methods-4e. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.

Packed with key definitions, concepts, and equations, our Business Statistics guide covers how to read and use data to make clear business decisions. This essential reference tool is written and organized for quick access to critical points allowing students and professionals to increase grades and sharpen skills of collecting, organizing, and summarizing data for business.

Wirtschaftwissenschaften und Mathematik sind eng miteinander verflochtene Fachgebiete. Aus diesem Grund ist es für Wirtschaftswissenschaftler unerlässlich, sich schon im Grundstudium fundierte Kenntnisse etwa in Finanzmathematik oder Extremwertberechnung anzueignen. Um dieses Wissen verständlich zu vermitteln, erklärt der Autor einerseits die Vorgehensweisen anhand von Praxisbeispielen und zahlreichen Anwendungen. Zum anderen werden die gängigen Methoden ausführlich beleuchtet, damit der Lernende in die Lage versetzt wird, die vorgestellten Modelle zu analysieren, weiterzuentwickeln und an die eigenen Erfordernisse anzupassen. Die Verständnisfragen und Aufgaben mit Lösungen zu jedem Kapitel, erleichtern es dem Studierenden, die eigenen Fortschritte zu überprüfen und Wissenslücken aufzuspüren. Die acht Klausuraufgaben mit angegebener Gewichtung helfen, die Prüfungssituation zu simulieren. Abgerundet wird das Lehrbuch durch ein Repetitorium Schulmathematik, durch das die wichtigsten Grundlagen aufgefrischt werden können.

Regression analysis is arguably the single most powerful and widely applicable tool in any effective examination of common business issues. Every day, decision-makers face problems that require constructive actions with significant consequences, and regression procedures can prove a meaningful and valuable asset in the decision-making process. This text is designed to help students achieve a full understanding of regression and the many ways it can be used.Taking into consideration current statistical technology, Introductory Regression Analysis focuses on the use and interpretation of software, while also demonstrating the logic, reasoning, and calculations that lie behind any statistical analysis. Furthermore, the text emphasizes the application of regression tools to real-life business concerns. This multilayered, yet pragmatic approach fully equips students to derive the benefit and meaning of a regression analysis.This text is designed to serve in a second undergraduate course in statistics, focusing on regression and its component features. The material presented in this text will build from a foundation of the principles of data analysis. Although previous exposure to statistical concepts would prove helpful, all the material needed for an examination of regression analysis is presented here in a clear and complete form.

Exceptional managers know that they can create competitive advantages by basing decisions on performance response under alternative scenarios. To create these advantages, managers need to understand how to use statistics to provide information on performance response under alternative scenarios. Statistics are created to make better decisions. Statistics are essential and relevant. Statistics must be easily and quickly produced using widely available software, Excel. Then results must be translated into general business language and illustrated with compelling graphics to make them understandable and usable by decision makers. This book helps students master this process of using statistics to create competitive advantages as decision makers. Statistics are essential, relevant, easy to produce, easy to understand, valuable, and fun, when used to create competitive advantage. The Examples, Assignments, And Cases Used To Illustrate Statistics For Decision Making Come From Business Problems McIntire Corporate Sponsors and Partners, such as Rolls-Royce, Procter & Gamble, and Dell, and the industries that they do business in, provide many realistic examples. The book also features a number of examples of global business problems, including those from important emerging markets in China and India. It is exciting to see how statistics are used to improve decision making in real and important business decisions. This makes it easy to see how statistics can be used to create competitive advantages in similar applications in internships and careers. Learning Is Hands On With Excel and Shortcuts

'Bifurcated from Business mathematics and statistics.'

Business Statistics is a student-friendly book written to encourage first year business students to understand (and enjoy!) their first experience of statistics. Each topic is well illustrated, with worked examples, tutorial sheets, supplementary exercises, and computer worksheets in SPSS, Minitab and Excel - all with answers provided.

Im Buch werden die klassischen Felder deskriptive Statistik, Wahrscheinlichkeitstheorie und induktive Statistik behandelt. Das Werk zeichnet sich durch eine große Praxisnähe aus. Dabei werden Problemfelder angesprochen und durch zahlreiche Beispiele verdeutlicht. Als Vorbereitung auf Prüfungen werden Übungsaufgaben und Klausuraufgaben zur Verfügung gestellt, deren jeweilige Lösungen separat aufbereitet werden, um so eine tatsächliche Wissenskontrolle zu ermöglichen. Das Buch richtet sich an alle Studierenden, die mit Prüfungen zu Statistik konfrontiert werden.