03315nam 22005175 450 99641819070331620230626143543.03-030-39561-8978-3-030-39561-210.1007/978-3-030-39561-2(CKB)4920000000496060(DE-He213)978-3-030-39561-2(MiAaPQ)EBC6178543(PPN)243758421(EXLCZ)99492000000049606020200420d2020 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierA First Course in Statistical Inference[electronic resource] /by Jonathan Gillard1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (X, 164 p. 24 illus., 7 illus. in color.)Springer Undergraduate Mathematics Series,1615-2085Includes index.Versión papel A first course in statistical inference 978-3-030-39560-5 1 Recap of Probability Fundamentals -- 2 Sampling and Sampling Distributions -- 3 Towards Estimation -- 4 Confidence Intervals -- 5 Hypothesis Testing -- 6 One-way Analysis of Variance (ANOVA) -- 7 Regression: Fitting a Straight Line -- A brief introduction to R -- Solutions to Exercises -- Statistical Tables -- Index.This book offers a modern and accessible introduction to Statistical Inference, the science of inferring key information from data. Aimed at beginning undergraduate students in mathematics, it presents the concepts underpinning frequentist statistical theory. Written in a conversational and informal style, this concise text concentrates on ideas and concepts, with key theorems stated and proved. Detailed worked examples are included and each chapter ends with a set of exercises, with full solutions given at the back of the book. Examples using R are provided throughout the book, with a brief guide to the software included. Topics covered in the book include: sampling distributions, properties of estimators, confidence intervals, hypothesis testing, ANOVA, and fitting a straight line to paired data. Based on the author’s extensive teaching experience, the material of the book has been honed by student feedback for over a decade. Assuming only some familiarity with elementary probability, this textbook has been devised for a one semester first course in statistics.Springer Undergraduate Mathematics Series,1615-2085Statistics Statistical Theory and Methodshttps://scigraph.springernature.com/ontologies/product-market-codes/S11001Statistics and Computing/Statistics Programshttps://scigraph.springernature.com/ontologies/product-market-codes/S12008Statistics .Statistical Theory and Methods.Statistics and Computing/Statistics Programs.519.5Gillard Jonathanauthttp://id.loc.gov/vocabulary/relators/aut880423MiAaPQMiAaPQMiAaPQBOOK996418190703316A First Course in Statistical Inference1965961UNISA