02618cam a22003377i 450000100090000000300040000900500170001300700100003000800410004001000170008102000180009803500240011604001130014004200140025305000260026708200280029310000220032124500440034326000260038730000380041350000200045150506160047152009380108765000320202565000340205765000340209165000380212565000400216365000400220365000370224319239640JGU20190523223957.0Hardbound160822t20182018enka 001 0 eng d a 2016951887 a9781473924895 a(OCoLC)ocn957738873 aYDXbengcYDXerdadOCLCQdBTCTAdBDXdWURSTdZ5AdOCLCFdYDXdCDXdL2UdOCLdEAUdOCLCQdUPMdPAUdFRGdDLC alccopycat00aQA276.45.R3bS75 201804a519.502855133223bST-S1 aStinerock, Robert10aStatistics with R ba beginner's guide aNew DelhibSAGEc2018 axix, 369p.billustrations c24 cm aIncludes index.00g1.tIntroduction and R Instructions --g2.tDescriptive Statistics: Tabular and Graphical Methods --g3.tDescriptive Statistics: Numerical Methods --g4.tIntroduction to Probability --g5.tDiscrete Probability Distributions --g6.tContinuous Probability Distributions --g7.tPoint Estimation and Sampling Distributions --g8.tConfidence Interval Estimation --g9.tHypothesis Tests: Introduction, Basic Concepts, and an Example --g10.tHypothesis Tests About Means and Proportions: Applications --g11.tComparisons of Means and Proportions --g12.tSimple Linear Regression --g13.tMultiple Regression. a"The dynamic, student focused textbook provides step-by-step instruction in the use of R and of statistical language as a general research tool. It is ideal for anyone hoping to: Complete an introductory course in statistics Prepare for more advanced statistical courses Gain the transferable analytical skills needed to interpret research from across the social sciences Learn the technical skills needed to present data visually Acquire a basic competence in the use of R. The book provides readers with the conceptual foundation to use applied statistical methods in everyday research. Each statistical method is developed within the context of practical, real-world examples and is supported by carefully developed pedagogy and jargon-free definitions. Theory is introduced as an accessible and adaptable tool and is always contextualized within the pragmatic context of real research projects and definable research questions"-- 0aStatisticsxData processing 0aR (Computer program language) 0aStatisticsxComputer programs 7aStatisticsxData processing2fast 7aR (Computer program language)2fast 7aStatisticsxComputer programs2fast 7a54.53 programming languages2nbc