| 书目名称 | Introduction to Statistics | | 副标题 | The Nonparametric Wa | | 编辑 | Gottfried E. Noether | | 视频video | | | 概述 | Request lecturer material: | | 丛书名称 | Springer Texts in Statistics | | 图书封面 |  | | 描述 | The introductory statistics course presents serious pedagogical problems to the instructor. For the great majority of students, the course represents the only formal contact with statistical thinking that he or she will have in college. Students come from many different fields of study, and a large number suffer from math anxiety. Thus, an instructor who is willing to settle for some limited objectives will have a much better chance of success than an instructor who aims for a broad exposure to statistics. Many statisticians agree that the primary objective of the introductory statistics course is to introduce students to variability and uncertainty and how to cope with them when drawing inferences from observed data. Addi tionally, the introductory COurse should enable students to handle a limited number of useful statistical techniques. The present text, which is the successor to the author‘s Introduction to Statistics: A Nonparametric Approach (Houghton Mifflin Company, Boston, 1976), tries to meet these objectives by introducing the student to the ba sic ideas of estimation and hypothesis testing early in the course after a rather brief introduction to data organization and s | | 出版日期 | Textbook 1991 | | 关键词 | Boxplot; Fitting; Minitab; Normal distribution; Variance; analysis of variance; best fit; classification; co | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4612-0943-0 | | isbn_softcover | 978-1-4612-6955-7 | | isbn_ebook | 978-1-4612-0943-0Series ISSN 1431-875X Series E-ISSN 2197-4136 | | issn_series | 1431-875X | | copyright | Springer Science+Business Media New York 1991 |
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发表于 2025-3-21 17:57:21
