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010   $a3-030-39561-8
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024 7 $a10.1007/978-3-030-39561-2
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035   $a(DE-He213)978-3-030-39561-2
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035   $a(PPN)243758421
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100   $a20200420d2020      u|             0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 12$aA First Course in Statistical Inference$b[electronic resource] /$fby Jonathan Gillard
205   $a1st ed. 2020.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020.
215   $a1 online resource (X, 164 p. 24 illus., 7 illus. in color.)
225 1 $aSpringer Undergraduate Mathematics Series,$x1615-2085
300   $aIncludes index.
311 0 $aVersión papel A first course in statistical inference 978-3-030-39560-5 
327   $a1 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.
330   $aThis book offers a modern and accessible introduction to Statistical Inference, the science of inferring key information from data. Aimed at beginning undergraduate students in mathematics, it presents the concepts underpinning frequentist statistical theory. Written in a conversational and informal style, this concise text concentrates on ideas and concepts, with key theorems stated and proved. Detailed worked examples are included and each chapter ends with a set of exercises, with full solutions given at the back of the book. Examples using R are provided throughout the book, with a brief guide to the software included. Topics covered in the book include: sampling distributions, properties of estimators, confidence intervals, hypothesis testing, ANOVA, and fitting a straight line to paired data. Based on the author?s extensive teaching experience, the material of the book has been honed by student feedback for over a decade. Assuming only some familiarity with elementary probability, this textbook has been devised for a one semester first course in statistics.
410  0$aSpringer Undergraduate Mathematics Series,$x1615-2085
606   $aStatistics 
606   $aStatistical Theory and Methods$3https://scigraph.springernature.com/ontologies/product-market-codes/S11001
606   $aStatistics and Computing/Statistics Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/S12008
615  0$aStatistics .
615 14$aStatistical Theory and Methods.
615 24$aStatistics and Computing/Statistics Programs.
676   $a519.5
700   $aGillard$b Jonathan$4aut$4http://id.loc.gov/vocabulary/relators/aut$0880423
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a996418190703316
996   $aA First Course in Statistical Inference$91965961
997   $aUNISA