03280nam a22005175i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001200153072001500165072002300180072001400203100008100217245013600298250001800434264007500452300006600527336002600593337002600619338003600645347002400681490006300705505018800768520120200956650001702158650002402175650001802199650002902217650001702246650004002263650003302303650001602336650002402352650002902376700008002405710003402485773002602519776003602545776003602581776003602617830006302653856004602716978-3-031-38985-6DE-He21320251030111758.0cr nn 008mamaa240401s2024    sz |    s    |||| 0|eng d  a97830313898567 a10.1007/978-3-031-38985-62doi 4aQA1-939 7aPB2bicssc 7aMAT0000002bisacsh 7aPB2thema1 aBarron, Emmanuel N.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut10aProbability and Statistics for STEMh[electronic resource] :bA Course in One Semester /cby Emmanuel N. Barron, John G. Del Greco.  a2nd ed. 2024. 1aCham :bSpringer International Publishing :bImprint: Springer,c2024.  aXVII, 289 p. 25 illus., 23 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aSynthesis Lectures on Mathematics & Statistics,x1938-17510 aProbability -- Random Variables -- Distributions of Sample Mean and Sample SD -- Confidence and Prediction Intervals -- Hypothesis Testing -- Linear Regression -- Answers to Problems.  aThis new edition presents the essential topics in probability and statistics from a rigorous standpoint. Any discipline involving randomness, including medicine, engineering, and any area of scientific research, must have a way of analyzing or even predicting the outcomes of an experiment. The authors focus on the tools for doing so in a thorough, yet introductory way. After providing an overview of the basics of probability, the authors cover essential topics such as confidence intervals, hypothesis testing, and linear regression. These subjects are presented in a one semester format, suitable for engineers, scientists, and STEM students with a solid understanding of calculus. There are problems and exercises included in each chapter allowing readers to practice the applications of the concepts. In addition, this book: Discusses the basics of probability and essential topics, such as confidence intervals, hypothesis testing, and linear regression Provides exercises and solutions so that readers can practice the applications of the concepts Presents topics in a one semester format, suitable for engineers, scientists, and STEM students who have studied calculus for two semesters. 0aMathematics. 0aMathematical logic. 0aStatistics . 0aEngineering mathematics.14aMathematics.24aMathematical Logic and Foundations.24aApplications of Mathematics.24aStatistics.24aApplied Statistics.24aEngineering Mathematics.1 aDel Greco, John G.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303138984908iPrinted edition:z978303138986308iPrinted edition:z9783031389870 0aSynthesis Lectures on Mathematics & Statistics,x1938-175140uhttps://doi.org/10.1007/978-3-031-38985-6