Elementary Statistics: A Problem Solving Approach 4th Edition PDF Download

Author: Andrew L. Comrey
Publisher: Lulu.com
ISBN: 141166616X
Category : Mathematics
Languages : en
Pages : 189

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Book Description
A textbook oriented toward behavioral and social science students interested in data analysis. This book shows the reader how to do statistical analyses. It also gives examples and situations where a certain statistical test would be used.

Author: J. Chapman McGrew, Jr.
Publisher: Waveland Press
ISBN: 1478609621
Category : Science
Languages : en
Pages : 266

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Book Description
Written for undergraduate geography majors and entry-level graduate students with limited backgrounds in statistical analysis and methods, McGrew and Monroe provide a comprehensive and understandable introduction to statistical methods in a problem-solving framework. Engaging examples and problems are drawn from a variety of topical areas in both human and physical geography and are fully integrated into the text. Without compromising statistical rigor or oversimplifying, the authors stress the importance of written narratives that explain each statistical technique. After introducing basic statistical concepts and terminology, the authors focus on nonspatial and spatial descriptive statistics. They transition to inferential problem solving, including probability, sampling, and estimation, before delving deeper into inferential statistics for geographic problem solving. The final chapters examine the related techniques of correlation and regression. A list of major goals and objectives is included at the end of each chapter, allowing students to monitor their own progress and mastery of geographic statistical materials. An epilogue, offering over 150 geographic situations, gives students a chance to figure out which statistical technique should be used for a particular situation.

Author: Arthur J. Lembo, Jr.
Publisher: Waveland Press
ISBN: 1478652160
Category : Science
Languages : en
Pages : 365

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Book Description
The fourth edition of An Introduction to Statistical Problem Solving in Geography continues its standing as the definitive introduction to statistics and quantitative analysis in geography. Assuming no reader background in statistics, the authors lay out the proper role of statistical analysis and methods in human and physical geography. They delve into the calculation of descriptive summaries and graphics to explain geographic patterns and use inferential statistics (parametric and nonparametric) to test for differences (t-tests, ANOVA), relationships (regression and correlation), and spatial statistics (point and area patterns, spatial autocorrelation). This edition introduces more advanced topics, including logistic regression, two-factor ANOVA, and spatial estimation (inverse distance weighting, Kriging). Many chapters also include thought-provoking discussions of statistical concepts as they relate to the COVID-19 pandemic. Maintaining an exploratory and investigative approach throughout, the authors provide readers with real-world geographic issues and more than 50 map examples. Concepts are explained clearly and narratively without oversimplification. Each chapter concludes with a list of major goals and objectives. An epilogue offers over 150 open-ended geographic situations, inviting students to apply their new statistical skills to solve problems currently affecting our world.

Author: Yomi Babatunde
Publisher: Springer
ISBN: 9812873627
Category : Business & Economics
Languages : en
Pages : 449

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Book Description
This book explores China’s global competitiveness in the building of infrastructures with a particular interest in the resource-rich African countries. The book begins with a comprehensive literature review on total quality management (TQM) and national culture, followed by reviews of the construction industries in China and Nigeria. This provides better understanding of the linkages between TQM, based on the International Organization for Standardization’s ISO 9000 quality management systems (QMS), and national culture, based on Emeritus Professor Geert Hofstede’s national cultural dimensions. Premised on the culture-specificity and bi-directionality relationships between TQM and national culture, this book investigates the construction industries in China and Nigeria including their strengths, weaknesses, opportunities, and threats (SWOT) as well as an appraisal of their historical and emerging relationships. In its conceptual approach, this book presents different models in the lead up to its primary theoretical contribution of a quality management assessment model (QMAM) that was adopted during the study’s field work. The book also presents relevant lessons relating to cross cultural management and quality performance not only to the Nigerians but also other foreign players in Nigeria’s construction industry.

Author: J.P. Verma
Publisher: Springer Nature
ISBN: 9811334293
Category : Social Science
Languages : en
Pages : 635

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Book Description
This book, specifically developed for students of psychology, covers a wide range of topics in statistics and research designs taught in psychology, in particular, and other disciplines like management, sociology, education, home science, and nutrition, in general, in most universities. It explains how to use Excel to analyze research data by elaborating statistical concepts. Each chapter contains sections like “Check you Computing skill” and “Check your Statistical Concepts” to enable students to assess their knowledge in a graded manner. The book addresses one of the major challenges in psychology research, viz., how to measure subjective phenomenon like attitude, desire, and preferences of an individual. Separate emphasis has been given to the measurement techniques which are essential tools to assess these subjective parameters in numerical form, required for statistical analysis to draw meaningful conclusions. The book is equally helpful to students of humanities, life sciences and other applied areas. Consisting of 14 chapters, the book covers all relevant topics of statistics and research designs which are important for students to plan and complete their research work.

Author: Andrew Laurence Comrey
Publisher: McGraw-Hill Humanities, Social Sciences & World Languages
ISBN:
Category : Mathematics
Languages : en
Pages : 488

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Author: Andrew Laurence Comrey
Publisher:
ISBN: 9780787257576
Category :
Languages : en
Pages : 559

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Book Description

Author: Allan G. Bluman
Publisher: McGraw-Hill Education
ISBN: 9780021418251
Category : Mathematics
Languages : en
Pages : 896

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Book Description
Elementary Statistics: A Step by Step Approach was written as an aid in the beginning statistics course to students whose mathematical background is limited to basic algebra. The book follows a nontheoretical approach without formal proofs, explaining concepts intuitively and supporting them with abundant examples. The applications span a broad range of topics certain to appeal to the interests of students of diverse backgrounds, and they include problems in business, sports, health, architecture, education, entertainment, political science, psychology, history, criminal justice, the environment, transportation, physical sciences, demographics, eating habits, and travel and leisure. Includes print student edition

Author: Christopher Hay-Jahans
Publisher: CRC Press
ISBN: 0429827261
Category : Mathematics
Languages : en
Pages : 396

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Book Description
The R Companion to Elementary Applied Statistics includes traditional applications covered in elementary statistics courses as well as some additional methods that address questions that might arise during or after the application of commonly used methods. Beginning with basic tasks and computations with R, readers are then guided through ways to bring data into R, manipulate the data as needed, perform common statistical computations and elementary exploratory data analysis tasks, prepare customized graphics, and take advantage of R for a wide range of methods that find use in many elementary applications of statistics. Features: Requires no familiarity with R or programming to begin using this book. Can be used as a resource for a project-based elementary applied statistics course, or for researchers and professionals who wish to delve more deeply into R. Contains an extensive array of examples that illustrate ideas on various ways to use pre-packaged routines, as well as on developing individualized code. Presents quite a few methods that may be considered non-traditional, or advanced. Includes accompanying carefully documented script files that contain code for all examples presented, and more. R is a powerful and free product that is gaining popularity across the scientific community in both the professional and academic arenas. Statistical methods discussed in this book are used to introduce the fundamentals of using R functions and provide ideas for developing further skills in writing R code. These ideas are illustrated through an extensive collection of examples. About the Author: Christopher Hay-Jahans received his Doctor of Arts in mathematics from Idaho State University in 1999. After spending three years at University of South Dakota, he moved to Juneau, Alaska, in 2002 where he has taught a wide range of undergraduate courses at University of Alaska Southeast.

Author: David Diez
Publisher:
ISBN: 9781943450046
Category :
Languages : en
Pages :

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Book Description
The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. We feature real data whenever possible, and files for the entire textbook are freely available at openintro.org. Visit our website, openintro.org. We provide free videos, statistical software labs, lecture slides, course management tools, and many other helpful resources.