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Statistics for Library and Information Services - A Primer for Using Open Source R Software for Accessibility and Visualization (Hardcover)
Loot Price: R2,853
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Statistics for Library and Information Services - A Primer for Using Open Source R Software for Accessibility and Visualization (Hardcover)
Expected to ship within 12 - 19 working days
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Statistics for Library and Information Services, written for
non-statisticians, provides logical, user-friendly, and
step-by-step instructions to make statistics more accessible for
students and professionals in the field of Information Science. It
emphasizes concepts of statistical theory and data collection
methodologies, but also extends to the topics of visualization
creation and display, so that the reader will be able to better
conduct statistical analysis and communicate his/her findings. The
book is tailored for information science students and
professionals. It has specific examples of dataset sets, scripts,
design modules, data repositories, homework assignments, and a
glossary lexicon that matches the field of Information Science. The
textbook provides a visual road map that is customized specifically
for Information Science instructors, students, and professionals
regarding statistics and visualization. Each chapter in the book
includes full-color illustrations on how to use R for the
statistical model that particular chapter will cover. This book is
arranged in 17 chapters, which are organized into five main
sections: *the first section introduces research design and data
collection; *the second section discusses basic statistical
concepts, including descriptive, bivariate, time series, and
regression analyses; *section 3 covers the subject of visualization
creation using Open Source R; *section 4 covers decision making
from the analysis; and *the last section provides examples and
references. Every chapter illustrates how to use Open Source R and
features two subsections for the major ideas of the chapter: its
statistical model and its visual representation. The statistical
model captures the main statistical formulas/theories covered in
each chapter, while the visual representation addresses the subject
of the types of visualization that are produced from the
statistical analysis model covered in that particular chapter.
Don't miss the book's companion Web site at
www.statisticsforlis.org
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