001452482 000__ 03597cam\a2200565\i\4500
001452482 001__ 1452482
001452482 003__ OCoLC
001452482 005__ 20230310003357.0
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001452482 007__ cr\cn\nnnunnun
001452482 008__ 230210s2022\\\\sz\a\\\\ob\\\\001\0\eng\d
001452482 019__ $$a1367930662
001452482 020__ $$a9783031118333$$q(electronic bk.)
001452482 020__ $$a3031118332$$q(electronic bk.)
001452482 020__ $$z9783031118326
001452482 020__ $$z3031118324
001452482 0247_ $$a10.1007/978-3-031-11833-3$$2doi
001452482 035__ $$aSP(OCoLC)1369580658
001452482 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX
001452482 049__ $$aISEA
001452482 050_4 $$aQA276
001452482 08204 $$a519.5$$223/eng/20230210
001452482 1001_ $$aHeumann, Christian,$$d1962-$$eauthor.$$1https://isni.org/isni/0000000038084183
001452482 24510 $$aIntroduction to statistics and data analysis :$$bwith exercises, solutions and applications in R /$$cChristian Heumann, Michael Schomaker, Shalabh.
001452482 250__ $$aSecond edition.
001452482 264_1 $$aCham :$$bSpringer,$$c[2022]
001452482 264_4 $$c©2022
001452482 300__ $$a1 online resource (xvii, 584 pages) :$$billustrations (some color)
001452482 336__ $$atext$$btxt$$2rdacontent
001452482 337__ $$acomputer$$bc$$2rdamedia
001452482 338__ $$aonline resource$$bcr$$2rdacarrier
001452482 504__ $$aIncludes bibliographical references and index.
001452482 5050_ $$aPart I Descriptive Statistics: Introduction and Framework -- Frequency Measures and Graphical Representation of Data -- Measures of Central Tendency and Dispersion -- Association of Two Variables -- Part I Probability Calculus: Combinatorics -- Elements of Probability Theory -- Random Variables -- Probability Distributions -- Part III Inductive Statistics: Inference -- Hypothesis Testing -- Linear Regression -- Logistic Regression -- Part IV Additional Topics Simple Random Sampling and Bootstrapping -- Causality -- Part V Appendices: Introduction to R -- Solutions to Exercises -- Technical Appendix -- Visual Summaries.
001452482 506__ $$aAccess limited to authorized users.
001452482 520__ $$aNow in its second edition, this introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. This revised and extended edition features new chapters on logistic regression, simple random sampling, including bootstrapping, and causal inference. The text is primarily intended for undergraduate students in disciplines such as business administration, the social sciences, medicine, politics, and macroeconomics. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R, as well as supplementary material that will enable the reader to quickly adapt the methods to their own applications.
001452482 588__ $$aDescription based on print version record.
001452482 650_0 $$aStatistics.
001452482 650_0 $$aR (Computer program language)$$xStatistical methods.
001452482 650_0 $$aEconometrics.
001452482 650_0 $$aMacroeconomics.
001452482 655_0 $$aElectronic books.
001452482 7001_ $$aSchomaker, Michael,$$eauthor.
001452482 7000_ $$aShalabh,$$eauthor.$$1https://isni.org/isni/0000000097066073
001452482 77608 $$iPrint version:$$aHeumann, Christian, 1962-$$tIntroduction to statistics and data analysis.$$bSecond edition.$$dCham : Springer, 2022$$z9783031118326$$w(OCoLC)1346318066
001452482 852__ $$bebk
001452482 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-11833-3$$zOnline Access$$91397441.1
001452482 909CO $$ooai:library.usi.edu:1452482$$pGLOBAL_SET
001452482 980__ $$aBIB
001452482 980__ $$aEBOOK
001452482 982__ $$aEbook
001452482 983__ $$aOnline
001452482 994__ $$a92$$bISE