Introduction to satistics and data analysis : with exercises, solutions and applications in R /

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 scien...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autor principal: Heumann, Christian.
Otros Autores: Schomaker, Michael., author., Shalabh, autor.
Formato: Sin ejemplares
Lenguaje:
Publicado: Cham : Springer International Publishing, c2016.
Materias:
Acceso en línea:Índice
Tapa
LEADER 02601cam#a22004095a#4500
001 BCCAB020130
003 AR-BCCAB
005 20220217153429.0
006 m####|o##d#|######
007 cr#|||||||||||
008 170127s2016####gw#d###fo####|||1#0|eng##
020 # # |a 9783319834566 
024 7 # |a 10.1007/978-3-319-46162-5  |2 doi 
040 # # |a DLC  |b eng  |e pn  |e rda  |c DLC  |d arbccab 
080 # # |a 519.22 
100 1 # |a Heumann, Christian.  |e author. 
245 1 0 |a Introduction to satistics and data analysis :  |b with exercises, solutions and applications in R /  |c Christian Heumann, Michael Schomaker, Shalabh. 
260 # # |a Cham :  |b Springer International Publishing,  |c c2016. 
300 # # |a xiii, 456 p. :  |b il. ;  |c 24 cm. 
520 # # |a 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. 
650 # 7 |a Econometría  |2 inist 
650 # 7 |a Econometrics  |2 inist 
650 # 7 |a Estadística  |2 inist 
650 # 7 |a Statistics  |2 inist 
653 # # |a Macroeconomia 
653 # # |a Macroeconomics 
653 # # |a Matemática estadística 
653 # # |a Mathematical statistics 
653 # # |a Statistical theory and methods 
653 # # |a Teoría y métodos estadísticos 
700 1 # |a Schomaker, Michael.,  |e author. 
700 1 # |a Shalabh,  |e autor. 
856 4 1 |u http://campi.cab.cnea.gov.ar/tocs/24464.pdf  |3 Índice 
856 4 1 |u https://images-na.ssl-images-amazon.com/images/I/41lp9hT7dUL.%5FSX313%5FBO1,204,203,200%5F.jpg  |3 Tapa 
942 # # |c BK 
952 # # |2 udc  |a ARBCCAB  |b ARBCCAB  |d 20220117  |e Ediciones Journal  |g $11.717,19  |i 24464  |o 519.22 H482  |p 24464  |t 1  |y BK 
952 # # |2 udc  |a ARBCCAB  |b ARBCCAB  |d 20220117  |e Ediciones Journal  |g $11.717,19  |i 24465  |o 519.21 H482 Ej.2  |p 24465  |t 2  |y BK