 Show book Published in 2016 Part I Descriptive Statistics: Introduction and Framework -- Frequency Measures and Graphical Representation of Data -- Measures of Central Tendency and Dispersion -- Association of Two Variables -... show more Reference details
Permalink:https://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)http://id.loc.gov/vocabulary/relators/aut 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. https://scigraph.springernature.com/ontologies/product-market-codes/S11001 Statistics for Business, Management, Economics, Finance, Insurance. https://scigraph.springernature.com/ontologies/product-market-codes/S17010 Econometrics. https://scigraph.springernature.com/ontologies/product-market-codes/W29010 Macroeconomics/Monetary Economics//Financial Economics. https://scigraph.springernature.com/ontologies/product-market-codes/W32000E-Location:https://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:https://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 - http://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)http://id.loc.gov/vocabulary/relators/aut AU - Schomaker, Michael. author. (role)aut (role)http://id.loc.gov/vocabulary/relators/aut AU - Shalabh. author. (role)aut (role)http://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:https://lib.ugent.be/catalog/ebk01:3710000001041182
What is statistical analysis using R?Statistical Analysis with R is one of the best practices which the statistician, data analysts, and data scientists do while analyzing statistical data. R language is a popular open-source programming language that extensively supports built-in packages and external packages for statistical analysis.
What is data analysis and statistics?Statistical analysis is a scientific tool that helps collect and analyze large amounts of data to identify common patterns and trends to convert them into meaningful information. In simple words, statistical analysis is a data analysis tool that helps draw meaningful conclusions from raw and unstructured data.
What is data analysis PDF?The process of performing certain. calculations and evaluation in order to extract. relevant information from data is called data. analysis.
Is R data analysis free?R analytics (or R programming language) is a free, open-source software used for all kinds of data science, statistics, and visualization projects.
|
Introduction to statistics and data analysis with exercises solutions and applications in r
Copyright © 2024 boxhindi Inc.
