An Introduction to Statistical Methods and Data Analysis
Lyman Ott(Author)
Brooks/Cole (Publisher)
4th Edition
Published on 29. December 1998
Book
Hardback
1152 pages
978-0-534-93150-6 (ISBN)
Article exhausted; check for reprint
Description
With over 300 new examples, the material in this book is organized around the four macros essential to understanding the data analysis process: gathering, summarizing, analyzing and presenting data. Computer output from EXECUSTAT, Minitab and SAS are used throughout to show readers how statistical methods are computed quickly using modern software. A new chapter using surveys and scientific studies has been added to help readers understand how to gather data.
More details
Edition
4th Revised edition
Language
English
Place of publication
CA
United States
Publishing group
Cengage Learning, Inc
Target group
College/higher education
Professional and scholarly
Edition type
Revised edition
Dimensions
Height: 241 mm
Width: 210 mm
Weight
2155 gr
ISBN-13
978-0-534-93150-6 (9780534931506)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Book
01/1988
3rd Edition
Brooks/Cole
€43.46
Article exhausted; check for reprint
Previous edition
R. Lyman Ott | Micheal Longnecker
An Introduction to Statistical Methods and Data Analysis
Book
12/2000
5th Edition
Brooks/Cole
€104.17
Article exhausted; check for reprint
Content
What is statistics?; Gathering the data; Using surveys and scientific studies to gather data; Data description; Probability and probability distributions; Inferences about sample size; Inferences about population variances; Categorical data; Linear regression; Inferences related to linear regression and correlation; Multiple regression and the general linear model; More on multiple regression; Introduction to the analysis of variance; Multiple comparisons; Analysis of variance for some unbalanced designs; Analysis of variance for some fixed, random and mixed effects models; Experiments with repeated measures; The analysis of co-variance; Communicating and documenting the results of analysis; Communication and documentation.