
Statistics
Concepts and Applications Workbook
Cambridge University Press
Published on 26. August 1994
Book
Hardback
896 pages
978-0-521-44554-2 (ISBN)
Description
Statistics: Concepts and Applications is a 'classical' general statistics text written in modern voice. The authors bring mathematical, theoretical and conceptual integrity to a body of topics and techniques that is appropriate to a first course in statistics and do so in a way that is accessible to students whose mathematical preparation does not go beyond the standard curriculum for college algebra. The informal, conversational prose delivers conceptual richness and advances a quiet subtext of mathematics instruction that achieves a high level of mathematical rigour. The text presents a thorough, step-by-step development of fundamental principles. Statistics: Concepts and Applications is backed by a package of ancillary materials: an instructor's manual with full solutions to exercises, rather than just answers, and an inexpensive supplementary workbook and tutorial ('User-Friendly') with remarkably powerful and easy-to-use DOS-compatible computer software package (ASP).
Reviews / Votes
"The authors write in lively, engaging prose that is mathematically rigorous and pedagogically sound." Contemporary PsychologyMore details
Language
English
Place of publication
Cambridge
United Kingdom
Target group
College/higher education
Illustrations
104 Line drawings, unspecified
Dimensions
Height: 261 mm
Width: 187 mm
Thickness: 49 mm
Weight
1707 gr
ISBN-13
978-0-521-44554-2 (9780521445542)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Content
1. The organization of data; 2. Describing distributions; 3. Describing individuals in distributions; 4. Describing joint distributions of data; 5. Introduction to probability; 6. Discrete probability distributions; 7. Continuous probability distributions; 8. Sampling distributions and estimation; 9. Hypothesis testing; 10. Testing hypotheses about population means; 11. Testing hypotheses about population variances; 12. Testing hypotheses about several population means ?1, ?2,..., ?j: analysis of variance; 13. More complex analysis of variance; 14. Testing hypotheses about correlation and regression; 15. Testing hypotheses about entire distributions: Pearson's chi-square.