Essential Statistics
Autor D. G. Reesen Limba Engleză Paperback – 1989
An experienced former lecturer, the author communicates to students in his trademark easy-to-follow style. Keeping complex mathematical theory to a minimum, Rees presents a wealth of fully explained worked examples throughout the text. In addition, the end-of-chapter Worksheets relate to a variety of fields-enabling students to see the relevance of the numerous methods to their study areas. Essential Statistics: Fourth Edition emphasizes the principles and assumptions underlying the statistical methods, thus providing the tools needed for students to use and interpret statistical data effectively.
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (2) | 375.97 lei 6-8 săpt. | |
Springer Us – 1989 | 375.97 lei 6-8 săpt. | |
CRC Press – 26 dec 2000 | 427.08 lei 6-8 săpt. | |
Hardback (1) | 1036.55 lei 6-8 săpt. | |
CRC Press – 29 aug 2017 | 1036.55 lei 6-8 săpt. |
Preț: 375.97 lei
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Specificații
ISBN-13: 9780412320309
ISBN-10: 0412320304
Pagini: 258
Ilustrații: XIV, 258 p. 20 illus.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.39 kg
Ediția:2nd ed. 1989
Editura: Springer Us
Colecția Springer
Locul publicării:New York, NY, United States
ISBN-10: 0412320304
Pagini: 258
Ilustrații: XIV, 258 p. 20 illus.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.39 kg
Ediția:2nd ed. 1989
Editura: Springer Us
Colecția Springer
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
Preface. What is Statistics? Some Statistical Notation. Summarizing Data by Tables and by Graphical Methods. Summarizing Data by Numerical Measures. Probability. Discrete Probability Distributions. Continuous Probability Distributions. Samples and Populations. Confidence Interval Estimation. Hypothesis Testing. Nonparametric Hypothesis Tests. An Introduction to the. Analysis of Variance (ANOVA). Association of Categorical Variables. Correlation of Quantitative Variables. Regression Analysis, an Introduction. Goodness-of-Fit Tests. Appendices. Index.
Recenzii
"This book is a first primer in statistics... for the occasional user or newcomer to the ideas in statistics this book contains everything you will probably ever need to know."
-Journal of the Operational Research Society, 2003
"Anyone who wants to begin learning statistics should be delighted with this book."
-Journal of Quality Technology
"…a very interesting introductory book on collecting, summarizing, analyzing, and interpreting data."
-Biometrics
"The information is concise and easily understood…(it) would help plan forthcoming projects."
-Hospital Doctor
-Journal of the Operational Research Society, 2003
"Anyone who wants to begin learning statistics should be delighted with this book."
-Journal of Quality Technology
"…a very interesting introductory book on collecting, summarizing, analyzing, and interpreting data."
-Biometrics
"The information is concise and easily understood…(it) would help plan forthcoming projects."
-Hospital Doctor
Descriere
Descriere de la o altă ediție sau format:
An introductory text for students taking a first course in statistics, Essential Statistics, Fourth Edition thoroughly updates and enhances the hugely successful third edition. It presents new information on modern statistical techniques, such as analysis of variance, and software such as Minitab. The author writes in his trademark easy-to-follow style and emphasizes the principles and assumptions underlying the statistical methods. Keeping complex mathematical theory to a minimum, he presents a wealth of fully explained, worked examples. End-of-chapter worksheets relate to a variety of fields and illustrate the relevance of the methods to a broad range of disciplines.
An introductory text for students taking a first course in statistics, Essential Statistics, Fourth Edition thoroughly updates and enhances the hugely successful third edition. It presents new information on modern statistical techniques, such as analysis of variance, and software such as Minitab. The author writes in his trademark easy-to-follow style and emphasizes the principles and assumptions underlying the statistical methods. Keeping complex mathematical theory to a minimum, he presents a wealth of fully explained, worked examples. End-of-chapter worksheets relate to a variety of fields and illustrate the relevance of the methods to a broad range of disciplines.