书目名称 | Introductory Statistics for Data Analysis |
编辑 | Warren J. Ewens,Katherine Brumberg |
视频video | http://file.papertrans.cn/475/474490/474490.mp4 |
概述 | Gives an introduction to the probability theory required to understand frequently used statistical procedures.Contains both problems and solutions for each chapter to enhance understanding.Provides R |
图书封面 |  |
描述 | .This book describes the probability theory associated with frequently used statistical procedures and the relation between probability theory and statistical inference. The first third of the book is dedicated to probability theory including topics relating to events, random variables, and the Central Limit Theorem. Statistical topics then include parameter estimation with confidence intervals, hypothesis testing, chi-square tests, .t. tests, and several non-parametric tests. Flow charts are frequently used to facilitate an understanding of the material considered. The examples and problems in the book all concern simple data sets which can be analyzed with a simple calculator; however, the R code required to complete many examples and problems is provided as well for those that are interested.. |
出版日期 | Textbook 2023 |
关键词 | random variables; hypothesis testing; parameters; estimation; non-parametric methods; binomial and hyperg |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-031-28189-1 |
isbn_softcover | 978-3-031-28191-4 |
isbn_ebook | 978-3-031-28189-1 |
copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |