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Demonstrate how statistical methods are vital for today's managers and economists as you teach students how to apply these tools to real business problems with the 11th edition of Statistics for Management and Economics.
This best-selling business and economic statistics text emphasizes applications over calculations using a unique three-step "ICI" approach to problem solving. Students IDENTIFY the correct statistical technique by focusing on the problem objective and data type; then COMPUTE the statistics (by hand, using ExcelŽ 2016, or using XLSTAT Excel add-in); and ultimately INTERPRET results in the context of the problem.
Readers examine functional areas of business as data-driven examples, more than 2400 exercises, and 32 cases demonstrate how marketing managers, financial analysts, accountants, and economists use statistical applications. Many exercises feature returns on 40 stocks. Students can download 1100 data sets, online appendixes and Data Analysis Plus from the book’s website.
Aplia FOR INTRODUCTORY BUSINESS STATISTICS HELPS STUDENTS STAY ON TOP OF COURSEWORK WITH REGULARLY SCHEDULED ASSIGNMENTS. Developed by teachers and used by more than 1,000,000 students, Aplia features interactive assignments that connect concepts to the real world. Auto-assigned, auto-graded homework holds students accountable for the material before they come to class. Immediate, detailed explanations for every answer enhance comprehension of foundational knowledge and statistical concepts. Gradebook Analytics allow you to monitor performance on a student-by-student basis.
EMPHASIS ON IDENTIFICATION AND INTERPRETATION PROVIDES STUDENTS WITH PRACTICAL SKILLS. With this book’s emphasis on applications rather than calculations, your student master and practice skills they can apply to real-world problems, whether you choose to use manual or computer calculations.
STUDENTS HAVE THE OPPORTUNITY TO CONVERT REAL DATA INTO INFORMATION. This book gives you flexibility, with the optional use of computer software, to teach your students how to work with larger data sets and more realistic exercises and examples....
This text aims to differentiate itself from other business statistics texts in two important ways. It seeks: to present the material in a non-technical manner to make it easier for a student with limited mathematical background to grasp the subject matter; and to develop an intuitive understanding of the techniques by framing them in the context of a management question, giving layman-type explanations of methods, using illustrative business examples and focusing on the management interpretations of the statistical findings. This further edition continues the theme of using Excel as a computational tool to perform statistical analysis. While all statistical functions have been adjusted to the Excel (2013) format, the statistical output remains unchanged. Using Excel to perform the statistical analysis in this text allows a student: To examine more realistic business problems with larger datasets; To focus more on the statistical interpretation of the statistical findings; and to transfer this skill of performing statistical analysis more easily to the work environment. Its overall purpose is to develop a management student's statistical reasoning and statistical decision-making skills to give him or her a competitive advantage in the workplace.
Statistics and quantitative methods are brought to life for social science students in this tutorial course.
,P> This revised edition provides an overview of entry- and intermediate-level statistics, and the material on the accompanying website provides extensive practice. Both the text and the website are structured to make learning self-directed, thus numerous worked examples, exercises, activities and tests are included. The emphasis, throughout, is on practice.
Students are expected to engage with the material and experience multiple aspects of data and statistical analysis. Most of the tutorials include detailed examples of how to conduct analyses in Microsoft Excel, SPSS, or R.
Time Series Analysis With Applications in R, Second Edition, presents an accessible approach to understanding time series models and their applications. Although the emphasis is on time domain ARIMA models and their analysis, the new edition devotes two chapters to the frequency domain and three to time series regression models, models for heteroscedasticty, and threshold models. All of the ideas and methods are illustrated with both real and simulated data sets. A unique feature of this edition is its integration with the R computing environment. The tables and graphical displays are accompanied by the R commands used to produce them. An extensive R package, TSA, which contains many new or revised R functions and all of the data used in the book, accompanies the written text. Script files of R commands for each chapter are available for download. There is also an extensive appendix in the book that leads the reader through the use of R commands and the new R package to carry out the analyses.
STATISTICS FOR MANAGEMENT AND ECONOMICS, Tenth Edition, emphasizes applications over calculation. It illustrates how vital statistical methods and tools are for today's managers--and teaches you how to apply them to real business problems. Using a proven three-step "ICI" approach to problem solving, the text teaches you how to IDENTIFY the correct statistical technique by focusing on the problem objective and data type; how to COMPUTE the statistics doing them by hand, using Excel (R), or using MINITAB; and how to 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. These comprehensive applications give you hands-on practice, while solid pedagogical elements make the material more accessible and easy to apply to your world. Completely up-to-date, the tenth edition offers comprehensive coverage, current examples, and Excel (R) 2013 and MINITAB 16 content.
Take a journey through the fascinating story of fractions, numbers, patterns, and shapes in order to better understand the complex world we live in. Continuing the "Big Ideas" series' trademark combination of authoritative, clear text and bold graphics to chart the development of maths through history, the book explores and explains some of the most complex and fascinating mathematical subjects. Delve into everything from the mathematical ideas and inventions of the ancient world such as the first number systems, magic squares, and the Chinese abacus, through to the developments in mathematics during medieval and Renaissance Europe, to the rise of group theory and cryptography more recently. This diverse and inclusive account of mathematics will have something for everybody- for those interested in the maths behind world economies, secret spies, modern technology and plenty more, taking readers around the world from Babylon to Bletchley Park. Tracing maths through the Scientific Revolution to its 21st-century use in computers, the internet, and AI, The Maths Book uses an innovative visual approach to make the subject accessible to everyone, casual readers and students alike.
With an exciting new look, new characters to meet, and its unique combination of humour and step-by-step instruction, this award-winning book is the statistics lifesaver for everyone. From initial theory through to regression, factor analysis and multilevel modelling, Andy Field animates statistics and SPSS software with his famously bizarre examples and activities. What's brand new: A radical new design with original illustrations and even more colour A maths diagnostic tool to help students establish what areas they need to revise and improve on. A revamped online resource that uses video, case studies, datasets, testbanks and more to help students negotiate project work, master data management techniques, and apply key writing and employability skills New sections on replication, open science and Bayesian thinking Now fully up to date with latest versions of IBM SPSS Statistics (c). All the online resources above (video, case studies, datasets, testbanks) can be easily integrated into your institution's virtual learning environment or learning management system. This allows you to customize and curate content for use in module preparation, delivery and assessment. For instructions on how to upload the resources you want, please visit the Instructors' page or alternatively, contact your local SAGE sales representative. Please note that ISBN: 9781526445780 comprises the paperback edition of the Fifth Edition and the student version of IBM SPSS Statistics. More information on this version of the software's features can be found here.
Support achievement in the latest syllabus (9709), for examination from 2020, with a stretching, practice-driven approach that builds the advanced skills required for Cambridge exam success and progression to further study. This new edition is fully aligned with the Probability & Statistics 2 part of the latest International AS & A Level syllabus, and contains a comprehensive mapping grid so you can be sure of complete support. Get students ready for higher education with a focus on real world application. From parabolic reflectors to technology in sport, up-to-date, international examples show how mathematics is used in real life. Students have plenty of opportunities to hone their skills with extensive graduated practice and thorough worked examples. Plus, give students realistic practice for their exams with exam-style questions covering every topic. Answers are included in the back of the book with full step-by-step solutions for all exercises and exam-style questions available on the accompanying support site. The online Student Book will be available on Oxford Education Bookshelf until 2028. Access is facilitated via a unique code, which is sent in the mail. The code must be linked to an email address, creating a user account. Access may be transferred once to an additional user.
Support achievement in the latest syllabus (9709), for examination from 2020, with a stretching, practice-driven approach that builds the advanced skills required for Cambridge exam success and progression to further study. This new edition is fully aligned with the Probability & Statistics 1 part of the latest International AS & A Level syllabus, and contains a comprehensive mapping grid so you can be sure of complete support. Get students ready for higher education with a focus on real-world application. From parabolic reflectors to technology in sport, up-to-date, international examples show how mathematics is used in real life. Students have plenty of opportunities to hone their skills with extensive graduated practice and thorough worked examples. Plus, give students realistic practice for their exams with exam-style questions covering every topic. Answers are included in the back of the book with full step-by-step solutions for all exercises and exam-style questions available on the accompanying support site. The online Student Book will be available on Oxford Education Bookshelf until 2028. Access is facilitated via a unique code, which is sent in the mail. The code must be linked to an email address, creating a user account. Access may be transferred once to an additional user.
Managerial Statistics by Gerald Keller is an established and worldwide bestselling business statistics text. Packed with examples and real data, UK-based author Nicoleta Gaciu joins Gerald Keller in this new edition to present a comprehensive, application-driven text developed and tailored especially for courses across the UK, Europe, the Middle East and Africa (EMEA). Through Keller's unique three-step approach to problem solving, students learn to identify the correct statistical technique, compute the statistics, and ultimately interpret results in the context of the problem.
This book covers Statistical methods and Calculations skills. Statistical methods cover collection of data, descriptive methods and inferential methods of analysis. Calculation skills cover elementary calculations, percentages and ratios, equations, graphs and interest calculation. The elementary calculations include basic calculations such as exponents, decimals, scientific notation, logarithms and rounding. Students with no mathematics background can learn how to do basic calculations before concentrating on the statistical applications. For some courses calculations such as interest, future values of investments, graphs and ratios form part of the core module and are also covered in this module.
Developed specifically for students in the behavioral and brain sciences, this is the only textbook that provides an accessible and practical overview of the range of human neuroimaging techniques. Methods covered include functional and structural magnetic resonance imaging, positron emission tomography, electroencephalography, magnetoencephalography, multimodal imaging, and various brain stimulation methods. Experimental design, image processing, and statistical inference are also addressed, with chapters for both basic and more advanced data analyses. Key concepts are illustrated through research studies on the relationship between brain and behavior, and practice questions are included throughout to test knowledge and aid self-study. Offering just the right amount of detail for understanding how major imaging techniques can be applied to answer neuroscientific questions, and the practical skills needed for future research, this is an essential text for advanced undergraduate and graduate students in psychology, neuroscience, and cognitive science programs taking introductory courses on human neuroimaging.
This book emphasises problem solving and teaches students how to systematically solve business problems. Its comprehensive coverage and integrated computer examples and instructions provides enough material for a two-semester course.
The text provides a practical approach oriented to engineering as well as chemical and physical sciences. Students learn how the material will be relevant in their careers through the integration throughout of unique problem sets that reflect realistic applications and situations. Applied Statistics, 6th Edition is suitable for either a one- or two-term course in probability and statistics.
The Nelson Mathematics for Cambridge International AS & A Level series is tailored to the needs of A and AS level students of the latest 9709 syllabus. Developed by a team of experienced examiners and international authors, it provides comprehensive coverage for this syllabus and effective preparation for the Cambridge exams. Nelson Probability and Statistics 1 for Cambridge International A Level is for students taking the S1 exam paper. The text provides introductions to topics and step-by-step worked examples to aid students in their understanding of the course material. Mixed exercises with more detailed questions, similar to those found in the actual examinations, test the knowledge of content covered in previous chapters, helping students to apply knowledge. In addition, practice exam papers provide students with opportunities for effective exam preparation and so help them reach their full potential.
Designed to help you overcome your apprehension about statistics, UNDERSTANDING BASIC STATISTICS, ENHANCED, 7E, INTERNATIONAL METRIC EDITION provides plenty of guidance and informal advice as it demonstrates the links between statistics and the real world. The text's reader-friendly approach helps you grasp the concepts and see how they relate to your life. A complete technology package, including JMP (R) statistical software, gives you the tools you need to practice what you're learning and succeed in the course.
Economic theories can be expressed in words, numbers, graphs and
symbols. The existing traditional economics textbooks cover all
four methods, but the general focus is often more on writing about
the theory and methods, with few practical examples. With an
increasing number of universities having introduced mathematical
economics at undergraduate level, Basic mathematics for economics
students aims to fill this gap in the field.
For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. The eighth edition of Multivariate Data Analysis provides an updated perspective on the analysis of all types of data as well as introducing some new perspectives and techniques that are foundational in today's world of analytics. Multivariate Data Analysis serves as the perfect companion for graduate and postgraduate students undertaking statistical analysis for business degrees, providing an application-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques.
This is the first text in a generation to re-examine the purpose of the mathematical statistics course. The book's approach interweaves traditional topics with data analysis and reflects the use of the computer with close ties to the practice of statistics. The author stresses analysis of data, examines real problems with real data, and motivates the theory. The book's descriptive statistics, graphical displays, and realistic applications stand in strong contrast to traditional texts that are set in abstract settings.
Many of the concepts and terminology surrounding modern causal inference can be quite intimidating to the novice. Judea Pearl presents a book ideal for beginners in statistics, providing a comprehensive introduction to the field of causality. Examples from classical statistics are presented throughout to demonstrate the need for causality in resolving decision-making dilemmas posed by data. Causal methods are also compared to traditional statistical methods, whilst questions are provided at the end of each section to aid student learning.
The 8 th edition of Mann's Introductory Statistics continues to offer a traditional approach to introductory statistics. Mann delivers information that business professionals need including the most up-to-date methods and applications and latest information in the field. The new edition focuses on explaining how to apply the concepts through case studies and numerous examples. Data integrated throughout the chapters come from a wide range of disciplines and media sources. More 200 examples are included along with marginal notes and step-by-step solutions.
The latest edition of this very successful and authoritative set of tables, first published in 1984, still benefits from clear typesetting, which makes the figures easy to read and use, but has been improved by the addition of new tables. These give Bayesian confidence limits for the binomial and Poisson distributions, and for the square of the multiple correlation coefficient, which have not been previously available. The intervals are the shortest possible, consistent with the requirement on probability. The authors have taken great care to ensure the clarity of the tables and how their values may be used; the tables are easily interpolated. The book contains all the tables likely to be required for elementary statistical methods in the social, business and natural sciences, and will be an essential aid for teachers, users and students in these areas.
This text provides a general revision of basic mathematical principles, rules and methods. The focus is only on those areas of mathematics required for the GMAT test. This covers four main topics: basic arithmetic, fundamental algebra, geometry and introductory statistics. This is essentially a workbook with a strong emphasis on self-practice. After a brief review of each topic’s basic rules and methods, there is at least one worked example, followed by an extensive set of self-practice exercises.
This revised edition contains a few new topics in basic mathematic and fundamental algebra and is strengthened by additional GMAT-type exercises.
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