LEADER 03364nam 22006255 450 001 9910725089403321 005 20240130105421.0 010 $a9783031281891$b(electronic bk.) 010 $z9783031281884 024 7 $a10.1007/978-3-031-28189-1 035 $a(MiAaPQ)EBC7248838 035 $a(Au-PeEL)EBL7248838 035 $a(OCoLC)1379293575 035 $a(DE-He213)978-3-031-28189-1 035 $a(PPN)270619267 035 $a(CKB)26637882500041 035 $a(EXLCZ)9926637882500041 100 $a20230512d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntroductory Statistics for Data Analysis /$fby Warren J. Ewens, Katherine Brumberg 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (272 pages) 300 $aIncludes index. 311 08$aPrint version: Ewens, Warren J. Introductory Statistics for Data Analysis Cham : Springer,c2023 9783031281884 327 $aI INTRODUCTION -- 1 Statistics and probability theory -- II PROBABILITY THEORY -- 2 Events -- 3 Probabilities of events -- 4 Probability: One Discrete Random Variable -- 5 Many Random Variables -- 6 Continuous Random Variables -- III STATISTICS -- 7 Introduction -- 8 Estimation of a parameter -- 9 Testing hypotheses about the value of a parameter -- 10 Testing for the equality of two binomial parameters -- 10 Testing for the equality of two binomial parameters -- 11 Chi-square tests (i): tables bigger than two-by-two -- 13 Tests on means -- 14 Non-parametric tests -- Useful charts -- Solutions to problems. 330 $aThis book describes the probability theory associated with frequently used statistical procedures and the relation between probability theory and statistical inference. The first third of the book is dedicated to probability theory including topics relating to events, random variables, and the Central Limit Theorem. Statistical topics then include parameter estimation with confidence intervals, hypothesis testing, chi-square tests, t tests, and several non-parametric tests. Flow charts are frequently used to facilitate an understanding of the material considered. The examples and problems in the book all concern simple data sets which can be analyzed with a simple calculator; however, the R code required to complete many examples and problems is provided as well for those that are interested. 606 $aStatistics 606 $aNonparametric statistics 606 $aBiometry 606 $aStatistical Theory and Methods 606 $aNon-parametric Inference 606 $aBiostatistics 606 $aEstadística matemàtica$2thub 608 $aLlibres electrònics$2thub 615 0$aStatistics. 615 0$aNonparametric statistics. 615 0$aBiometry. 615 14$aStatistical Theory and Methods. 615 24$aNon-parametric Inference. 615 24$aBiostatistics. 615 7$aEstadística matemàtica 676 $a780 700 $aEwens$b Warren J.$0103625 702 $aBrumberg$b Katherine 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910725089403321 996 $aIntroductory Statistics for Data Analysis$93367536 997 $aUNINA