LEADER 02722nam 22003853a 450 001 9910832948903321 005 20250123132213.0 035 $a(CKB)4950000000290328 035 $a(ScCtBLL)f46462dd-0fe1-4c66-b80d-9504aa1a7200 035 $a(OCoLC)1000326275 035 $a(EXLCZ)994950000000290328 100 $a20250123i20162016 uu 101 0 $aeng 135 $auru|||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aOpenIntro Statistics, 3rd Edition$fDavid M. Diez, Christopher D. Barr, Mine C?etinkaya-Rundel 205 $a3 ed. 210 1$a[s.l.] :$c[s.n.],$d2016. 215 $a1 online resource (436 p.) 330 $aAs the authors write in the preface, "Data is messy, and statistical tools are imperfect. But, when you understand the strengths and weaknesses of these tools, you can use them to learn about the real world." This book is full of examples and exercises on topics of current interest pulled from the popular media and published research.In addition to the exercises at the end of each chapter, a novel feature is the incorporation of in-chapter exercises, meant to be done immediately, with answers below in the footnotes.Chapter SummariesIntroduction to data. Data structures, variables, summaries, graphics, and basic data collection techniques.Probability. The basic principles of probability. An understanding of this chapter is not required for the main content in Chapters 3-8.Distributions of random variables. Introduction to the normal model and other key distributions.Foundations for inference. General ideas for statistical inference in the context of estimating the population mean.Inference for numerical data. Inference for one or two sample means using the normal model and t distribution, and also comparisons of many means using ANOVA.Inference for categorical data. Inference for proportions using the normal and chi-square distributions, as well as simulation and randomization techniques.Introduction to linear regression. An introduction to regression with two variables. Most of this chapter could be covered after Chapter 1.Multiple and logistic regression. An introduction to multiple regression and logistic regression for an accelerated course. 606 $aMathematics / Probability & Statistics$2bisacsh 606 $aMathematics 615 7$aMathematics / Probability & Statistics 615 0$aMathematics. 700 $aDiez$b David M$01787009 702 $aBarr$b Christopher D 702 $aC?etinkaya-Rundel$b Mine 801 0$bScCtBLL 801 1$bScCtBLL 906 $aBOOK 912 $a9910832948903321 996 $aOpenIntro Statistics, 3rd Edition$94319607 997 $aUNINA