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020 _a9783031389856
_9978-3-031-38985-6
024 7 _a10.1007/978-3-031-38985-6
_2doi
050 4 _aQA1-939
072 7 _aPB
_2bicssc
072 7 _aMAT000000
_2bisacsh
072 7 _aPB
_2thema
100 1 _aBarron, Emmanuel N.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_974502
245 1 0 _aProbability and Statistics for STEM
_h[electronic resource] :
_bA Course in One Semester /
_cby Emmanuel N. Barron, John G. Del Greco.
250 _a2nd ed. 2024.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2024.
300 _aXVII, 289 p. 25 illus., 23 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Mathematics & Statistics,
_x1938-1751
505 0 _aProbability -- Random Variables -- Distributions of Sample Mean and Sample SD -- Confidence and Prediction Intervals -- Hypothesis Testing -- Linear Regression -- Answers to Problems.
520 _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.
650 0 _aMathematics.
_965523
650 0 _aMathematical logic.
_966195
650 0 _aStatistics .
_965982
650 0 _aEngineering mathematics.
_964145
650 1 4 _aMathematics.
_965523
650 2 4 _aMathematical Logic and Foundations.
_966198
650 2 4 _aApplications of Mathematics.
_965529
650 2 4 _aStatistics.
_965982
650 2 4 _aApplied Statistics.
_965986
650 2 4 _aEngineering Mathematics.
_964145
700 1 _aDel Greco, John G.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_974503
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031389849
776 0 8 _iPrinted edition:
_z9783031389863
776 0 8 _iPrinted edition:
_z9783031389870
830 0 _aSynthesis Lectures on Mathematics & Statistics,
_x1938-1751
856 4 0 _uhttps://doi.org/10.1007/978-3-031-38985-6
912 _aZDB-2-SXSC
999 _c58856
_d58856