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Permalink://lib.ugent.be/catalog/ebk01:3710000001041182Title:Introduction to Statistics and Data Analysis [electronic resource] : With Exercises, Solutions and Applications in R / by Christian Heumann, Michael
Schomaker, Shalabh.ISBN:9783319461625Author:Heumann, Christian. author. (Author) (role)//id.loc.gov/vocabulary/relators/aut
Schomaker, Michael. author. (Author) (role)//id.loc.gov/vocabulary/relators/aut
Shalabh. author. (Author) (role)//id.loc.gov/vocabulary/relators/autCorporate author:SpringerLink (Online service)Edition:1st ed. 2016.Description:
XIII, 456 p. 89 illus. online resource.Note:Springer Nature eBookContents:Part 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.Summary:
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. 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.
Dewey:519.5 23Subject:Statistics .Econometrics.
Macroeconomics.
Statistical Theory and Methods. //scigraph.springernature.com/ontologies/product-market-codes/S11001
Statistics for Business, Management, Economics, Finance, Insurance. //scigraph.springernature.com/ontologies/product-market-codes/S17010
Econometrics. //scigraph.springernature.com/ontologies/product-market-codes/W29010
Macroeconomics/Monetary Economics//Financial Economics. //scigraph.springernature.com/ontologies/product-market-codes/W32000E-Location://doi.org/10.1007/978-3-319-46162-5Also available as:Printed edition: 9783319461601
Printed edition: 9783319461618
Printed edition: 9783319834566Object id:10.1007/978-3-319-46162-5
Permalink://lib.ugent.be/catalog/ebk01:3710000001041182MLA:Heumann, Christian, Michael Schomaker, and Shalabh. Introduction to Statistics and Data Analysis: With Exercises, Solutions and Applications In R. 1st ed. 2016. .APA:Heumann, C., Schomaker, M., & Shalabh, S. Introduction to Statistics and Data Analysis: With Exercises, Solutions and Applications in R. 1st ed. 2016. .Chicago:Heumann, Christian., Michael Schomaker, and Shalabh. Introduction to Statistics and Data Analysis: With Exercises, Solutions and Applications In R. 1st ed. 2016. RIS:TY - BOOK UR - //lib.ugent.be/catalog/ebk01:3710000001041182 ID - ebk01:3710000001041182 ET - 1st ed. 2016. LA - eng TI - Introduction to Statistics and Data Analysis With Exercises, Solutions and Applications in R PY - 2016 SN - 9783319461625 AU - Heumann, Christian. author. (role)aut (role)//id.loc.gov/vocabulary/relators/aut AU - Schomaker, Michael. author. (role)aut (role)//id.loc.gov/vocabulary/relators/aut AU - Shalabh. author. (role)aut (role)//id.loc.gov/vocabulary/relators/aut AB - Part 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. AB - 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. 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. ER - Download RIS file
Permalink://lib.ugent.be/catalog/ebk01:3710000001041182
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