000772617 000__ 03242cam\a2200457Ii\4500
000772617 001__ 772617
000772617 005__ 20230306142548.0
000772617 006__ m\\\\\o\\d\\\\\\\\
000772617 007__ cr\cn\nnnunnun
000772617 008__ 170207s2016\\\\sz\a\\\\ob\\\\001\0\eng\d
000772617 019__ $$a972126691$$a972238725
000772617 020__ $$a9783319461625$$q(electronic book)
000772617 020__ $$a3319461621$$q(electronic book)
000772617 020__ $$z9783319461601
000772617 0247_ $$a10.1007/978-3-319-46162-5$$2doi
000772617 035__ $$aSP(OCoLC)ocn971544382
000772617 035__ $$aSP(OCoLC)971544382$$z(OCoLC)972126691$$z(OCoLC)972238725
000772617 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dUAB$$dYDX$$dNJR
000772617 049__ $$aISEA
000772617 050_4 $$aQA276
000772617 08204 $$a519.5$$223
000772617 1001_ $$aHeumann, Christian,$$d1962-$$eauthor.
000772617 24510 $$aIntroduction to statistics and data analysis :$$bwith exercises, solutions and applications in R /$$cChristian Heumann, Michael Schomaker, Shalabh.
000772617 264_1 $$aCham, Switzerland :$$bSpringer,$$c2016.
000772617 300__ $$a1 online resource (xiii, 456 pages) :$$billustrations.
000772617 336__ $$atext$$btxt$$2rdacontent
000772617 337__ $$acomputer$$bc$$2rdamedia
000772617 338__ $$aonline resource$$bcr$$2rdacarrier
000772617 504__ $$aIncludes bibliographical references and index.
000772617 5050_ $$aPart I Descriptive Statistics: Introduction and Framework -- Frequency Measures and Graphical Representation of Data -- Measures of Central Tendency and Dispersion -- Association of Two Variables -- Part I Probability Calculus: Combinatorics -- Elements of Probability Theory -- Random Variables -- Probability Distributions -- Part III Inductive Statistics: Inference -- Hypothesis Testing -- Linear Regression -- Part IV Appendices: Introduction to R -- Solutions to Exercises -- Technical Appendix -- Visual Summaries.
000772617 506__ $$aAccess limited to authorized users.
000772617 520__ $$aThis introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. In the experimental sciences and interdisciplinary research, data analysis has become an integral part of any scientific study. Issues such as judging the credibility of data, analyzing the data, evaluating the reliability of the obtained results and finally drawing the correct and appropriate conclusions from the results are vital. The text is primarily intended for undergraduate students in disciplines like business administration, the social sciences, medicine, politics, macroeconomics, etc. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R as well as supplementary material that will enable the reader to quickly adapt all methods to their own applications.
000772617 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed February 7, 2017).
000772617 650_0 $$aMathematical statistics.
000772617 650_0 $$aR (Computer program language)
000772617 7001_ $$aSchomaker, Michael,$$eauthor.
000772617 7000_ $$aShalabh,$$eauthor.
000772617 852__ $$bebk
000772617 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-46162-5$$zOnline Access$$91397441.1
000772617 909CO $$ooai:library.usi.edu:772617$$pGLOBAL_SET
000772617 980__ $$aEBOOK
000772617 980__ $$aBIB
000772617 982__ $$aEbook
000772617 983__ $$aOnline
000772617 994__ $$a92$$bISE