| Introduction to Statistics and Data Analysis: With Exercises, Solutions and Applications in R 2016 Edition Contributor(s): Heumann, Christian (Author), Schomaker, Michael (Author), Shalabh (Author) |
|
 |
ISBN: 3319461605 ISBN-13: 9783319461601 Publisher: Springer OUR PRICE: $113.99 Product Type: Hardcover - Other Formats Published: March 2017 * Not available - Not in print at this time * |
| Additional Information |
| BISAC Categories: - Mathematics | Probability & Statistics - General - Business & Economics | Statistics - Business & Economics | Econometrics |
| Dewey: 330.015 |
| Physical Information: 1" H x 6.14" W x 9.21" (1.84 lbs) 456 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |