Introduction to Statistics | The Nonparametric Way

Gottfried E. Noether

ISBN 10: 0387972846 / ISBN 13: 9780387972848

Published by Springer US, 1990

About this Item

Introduction to Statistics | The Nonparametric Way | Gottfried E. Noether | Buch | xii | Englisch | 1990 | Springer US | EAN 9780387972848 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Seller Inventory # 102384005

Bibliographic Details

• Title: Introduction to Statistics | The Nonparametric Way
• Publisher: Springer US
• Publication Date: 1990
• Language: English
• ISBN 10: 0387972846
• ISBN 13: 9780387972848
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 28D millimeters 241 millimeters width by 160 millimeters height by 28 millimeters depth
• Weight: 811 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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 some simple ideas about probability. Estimation and hypothesis testing are discussed in terms of the two-sample problem, which is both conceptually simpler and more realistic than the one-sample problem that customarily serves as the basis for the discussion of statistical inference.

Review

"The text is well-written and provides some unique approaches ÄwhichÜ will be appreciated by the students."
(Journal of Quality Technology)