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Viser: Introduction to Statistics and Data Analysis - With Exercises, Solutions and Applications in R
Introduction to Statistics and Data Analysis Vital Source e-bog
Christian Heumann, Michael Schomaker og Shalabh
(2017)
Introduction to Statistics and Data Analysis Vital Source e-bog
Christian Heumann, Michael Schomaker og Shalabh
(2017)
Introduction to Statistics and Data Analysis Vital Source e-bog
Christian Heumann, Michael Schomaker og Shalabh
(2017)
Introduction to Statistics and Data Analysis
With Exercises, Solutions and Applications in R
Christian Heumann, Michael Schomaker og Shalabh
(2017)
Sprog: Engelsk
Detaljer om varen
- Vital Source searchable e-book (Reflowable pages)
- Udgiver: Springer Nature (Januar 2017)
- Forfattere: Christian Heumann, Michael Schomaker og Shalabh
- ISBN: 9783319461625
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
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Detaljer om varen
- Vital Source 180 day rentals (dynamic pages)
- Udgiver: Springer Nature (Januar 2017)
- Forfattere: Christian Heumann, Michael Schomaker og Shalabh
- ISBN: 9783319461625R180
Bookshelf online: 180 dage fra købsdato.
Bookshelf appen: 180 dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- Vital Source 90 day rentals (dynamic pages)
- Udgiver: Springer Nature (Januar 2017)
- Forfattere: Christian Heumann, Michael Schomaker og Shalabh
- ISBN: 9783319461625R90
Bookshelf online: 90 dage fra købsdato.
Bookshelf appen: 90 dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- Hardback
- Udgiver: Springer International Publishing AG (Marts 2017)
- Forfattere: Christian Heumann, Michael Schomaker og Shalabh
- ISBN: 9783319461601
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.
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.