000			a
999			_c31716 _d31716
008			230413b xxu||||| |||| 00| 0 eng d
020			_a9781138329164
082			_a519.502855133 _bHAY
100			_aHay-Jahans, Christopher
245			_aR companion to elementary applied statistics
260			_bTaylor & Francis Group, _c2019 _aBoca Raton :
300			_axvii, 358 p. ; _bill., _c24 cm
365			_b59.99 _cGBP _d104.20
504			_aIncludes bibliographical references and index.
520			_aThe 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.
650			_aStatistics General
650			_aBoxplots
650			_aData frames
650			_aError bars
650			_aFrequency distributions
650			_aGraphics customizations
650			_a Hypergeometric distribution
650			_aKendall's correlation coefficient
650			_aNormal distribution
650			_aOrdinal data tests
650			_aRandom samples
650			_aStudentized maximum modules distribution
942			_2ddc _cBK