Applied Business Statistics 5e

Applied Business Statistics 5e
Author: Trevor Wegner
Publisher:
Total Pages: 570
Release: 2020
Genre: Commercial statistics
ISBN: 9781485130499

Applied Business Statistics 5e is an introductory and intermediate Statistics text for students of Management. Its business applications-oriented approach aims to teach Management students how statistics (or data analytics) can be used as a valuable decision-support tool in any discipline of management practice.

Applied Statistics in Business and Economics

Applied Statistics in Business and Economics
Author: David P. Doane
Publisher:
Total Pages: 834
Release: 2006-02
Genre: Commercial statistics
ISBN: 9780071108140

David Doane offers an Excel focused approach to using statistics in business. All statistical concepts are illustrated with applied examples immediately upon introduction.

Essentials of Inferential Statistics

Essentials of Inferential Statistics
Author: Malcolm O. Asadoorian
Publisher: University Press of America
Total Pages: 304
Release: 2005
Genre: Business & Economics
ISBN: 9780761830306

Essentials of Inferential Statistics, fourth edition is appropriate for a one semester first course in Applied Statistics or as a reference book for practicing researchers in a wide variety of disciplines, including medicine, natural and social sciences, law, and engineering. Most importantly, this practical book thoroughly describes the Bayesian principles necessary for applied clinical research and strategic interaction, which are frequently omitted in other texts. After a comprehensive treatment of probability theory concepts, theorems, and some basic proofs, this laconically written text illustrates sampling distributions and their importance in estimation for the purpose of statistical inference. The book then shifts its focus to the essentials associated with confidence intervals, and hypothesis testing for major population parameters, namely, the population mean, population variance, and population proportion. In addition, it thoroughly describes the basics of correlation and simple linear regression as well as non-parametric statistics.

A Guide to Business Statistics

A Guide to Business Statistics
Author: David M. McEvoy
Publisher: John Wiley & Sons
Total Pages: 212
Release: 2018-04-10
Genre: Business & Economics
ISBN: 1119138353

An accessible text that explains fundamental concepts in business statistics that are often obscured by formulae and mathematical notation A Guide to Business Statistics offers a practical approach to statistics that covers the fundamental concepts in business and economics. The book maintains the level of rigor of a more conventional textbook in business statistics but uses a more stream­lined and intuitive approach. In short, A Guide to Business Statistics provides clarity to the typical statistics textbook cluttered with notation and formulae. The author—an expert in the field—offers concise and straightforward explanations to the core principles and techniques in business statistics. The concepts are intro­duced through examples, and the text is designed to be accessible to readers with a variety of backgrounds. To enhance learning, most of the mathematical formulae and notation appears in technical appendices at the end of each chapter. This important resource: Offers a comprehensive guide to understanding business statistics targeting business and economics students and professionals Introduces the concepts and techniques through concise and intuitive examples Focuses on understanding by moving distracting formulae and mathematical notation to appendices Offers intuition, insights, humor, and practical advice for students of business statistics Features coverage of sampling techniques, descriptive statistics, probability, sampling distributions, confidence intervals, hypothesis tests, and regression Written for undergraduate business students, business and economics majors, teachers, and practitioners, A Guide to Business Statistics offers an accessible guide to the key concepts and fundamental principles in statistics.

Loose-Leaf for Applied Statistics in Business and Economics

Loose-Leaf for Applied Statistics in Business and Economics
Author: Lori . Seward
Publisher: McGraw-Hill Education
Total Pages: 848
Release: 2021-01-12
Genre: Business & Economics
ISBN: 9781264098569

Applied Statistics in Business and Economics, 7th edition, provides real meaning to the use of statistics in the real world by using real business situations and real data while appealing to students who want to know the why rather than just the how. The text emphasizes thinking about data, choosing appropriate analytic tools, using computers effectively, and recognizing the limitations of statistics. It motivates student learning through applied current exercises and cases that provide real-world relevance and includes analytics in action, careers, and applications of big data, Artificial Intelligence, and machine learning (including ethical issues). The Doane and Seward authors work as a team, integrating the digital and eBook assets seamlessly. In recognition of a growing interest in analytics training beyond Excel, the textbook now provides an optional introduction to R with illustrations of topics in each chapter. Support for R is further enhanced with Learning Stats modules, tables of R functions, and R-compatible Excel data sets.

Statistics in Kinesiology

Statistics in Kinesiology
Author: Joseph P. Weir
Publisher:
Total Pages: 314
Release: 2021
Genre: Mathematics
ISBN: 1492560715

Statistics in Kinesiology, Fifth Edition With Web Resource, offers students in kinesiology and exercise science programs a unique introduction to the statistics concepts and techniques relevant to their specific field of study. Drawing from examples across kinesiology, including exercise physiology, biomechanics, physical education, and physical therapy, this essential text provides students with a statistical skill set that will enable them to analyze quantitative data and find answers to questions they will encounter in their specific disciplines. As in previous editions, emphasis is placed on methods commonly seen in kinesiology, such as correlation and bivariate regression, t tests, analysis of variance (ANOVA), and the interpretation of interactions in factorial analyses of variance. The fifth edition also incorporates fully updated content reflecting the changing face of kinesiology: Comparisons of observational versus experimental research and nonparametric versus parametric methods of analyzing categorical and ordinal data More detailed coverage on how to calculate central tendency when data have been transformed (e.g., log transformations) as well as multiple ways to interpret the correlation coefficient Expanded coverage of statistical graphs, including dot plots and spaghetti plots A discussion of the real meaning of p values and confidence intervals An introduction to frequentist approaches versus Bayesian methods In addition, a new web resource offers abridged presentations of complex statistical concepts and an interactive platform to practice problem solving. Mini lectures, consisting of narrated slideshows, provide further explanations and may be quickly accessed through QR codes placed at the end of each chapter. Sample problems then provide an opportunity for students to put the concepts into practice. Statistical software tools commonly used in kinesiology applications--such as JASP and G*Power--are briefly introduced, encouraging students to apply their knowledge of statistical procedures to generate and interpret computer results with confidence and ease. With Statistics in Kinesiology, Fifth Edition, students will gain a solid understanding of the statistical techniques used in physical activity fields. The book's practical approach, based on the authors' more than 50 years of combined experience in teaching statistics, will make it easy for students to learn these important, but often intimidating, concepts.

Essentials of Business Statistics

Essentials of Business Statistics
Author: Bruce L. Bowerman
Publisher:
Total Pages: 665
Release: 2011-02
Genre: Commercial statistics
ISBN: 9780071314718

The new edition of Essentials of Business Statisticsdelivers clear and understandable explanations of core business statistics concepts, making it ideal for a one-term course in business statistics. Containing continuing case studies that emphasize the theme of business improvement, the text offers real applications of statistics that are relevant to today's business students. The authors motivate students by showing persuasively how the use of statistical techniques in support of business decision-making helps to improve business processes. A variety of examples and exercises, and a robust, technology-based ancillary package are designed to help students master this subject. In addition, the authors have rewritten many of the discussions in this edition and have explained concepts more simply from first principles. The only prerequisite for this text is high school algebra.

Applied Linear Regression Models

Applied Linear Regression Models
Author: Michael H. Kutner
Publisher: McGraw-Hill/Irwin
Total Pages: 701
Release: 2003-09
Genre: Mathematics
ISBN: 9780072955675

Kutner, Neter, Nachtsheim, Wasserman, Applied Linear Regression Models, 4/e (ALRM4e) is the long established leading authoritative text and reference on regression (previously Neter was lead author.) For students in most any discipline where statistical analysis or interpretation is used, ALRM has served as the industry standard. The text includes brief introductory and review material, and then proceeds through regression and modeling. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Notes" to provide depth and statistical accuracy and precision. Applications used within the text and the hallmark problems, exercises, and projects are drawn from virtually all disciplines and fields providing motivation for students in any discipline. ALRM 4e provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor by using larger data sets in examples and exercises, and where methods can be automated within software without loss of understanding, it is so done.