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Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software

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Introduction to Statistics and Data Analysis - With Exercises, Solutions and Applications in R (Hardcover, 2nd ed. 2022) Loot Price: R2,773
Discovery Miles 27 730
Introduction to Statistics and Data Analysis - With Exercises, Solutions and Applications in R (Hardcover, 2nd ed. 2022):...

Introduction to Statistics and Data Analysis - With Exercises, Solutions and Applications in R (Hardcover, 2nd ed. 2022)

Christian Heumann, Michael Schomaker, Shalabh

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Loot Price R2,773 Discovery Miles 27 730 | Repayment Terms: R260 pm x 12*

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Now in its second edition, 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. This revised and extended edition features new chapters on logistic regression, simple random sampling, including bootstrapping, and causal inference. The text is primarily intended for undergraduate students in disciplines such as business administration, the social sciences, medicine, politics, and macroeconomics. 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 the methods to their own applications.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Release date: February 2023
First published: 2022
Authors: Christian Heumann • Michael Schomaker • Shalabh
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 587
Edition: 2nd ed. 2022
ISBN-13: 978-3-03-111832-6
Languages: English
Subtitles: English
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
LSN: 3-03-111832-4
Barcode: 9783031118326

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