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Introduction to Statistics and Data Analysis - With Exercises, Solutions and Applications in R (Hardcover, 1st ed. 2016) Loot Price: R2,402
Discovery Miles 24 020
Introduction to Statistics and Data Analysis - With Exercises, Solutions and Applications in R (Hardcover, 1st ed. 2016):...

Introduction to Statistics and Data Analysis - With Exercises, Solutions and Applications in R (Hardcover, 1st ed. 2016)

Christian Heumann, Michael Schomaker, Shalabh

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Loot Price R2,402 Discovery Miles 24 020 | Repayment Terms: R225 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Release date: March 2017
First published: 2016
Authors: Christian Heumann • Michael Schomaker • Shalabh
Dimensions: 235 x 155 x 33mm (L x W x T)
Format: Hardcover
Pages: 456
Edition: 1st ed. 2016
ISBN-13: 978-3-319-46160-1
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Business & Economics > Economics > Macroeconomics > General
Books > Business & Economics > Economics > Econometrics > General
LSN: 3-319-46160-5
Barcode: 9783319461601

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