An Introduction to Statistical Methods and Data Analysis - Info and Reading Options
By Lyman Ott
"An Introduction to Statistical Methods and Data Analysis" was published by Duxbury Press in 1984 - Boston, Mass, the book is classified in Mathematics genre, it has 775 pages and the language of the book is English.
“An Introduction to Statistical Methods and Data Analysis” Metadata:
- Title: ➤ An Introduction to Statistical Methods and Data Analysis
- Author: Lyman Ott
- Language: English
- Number of Pages: 775
- Is Family Friendly: Yes - No Mature Content
- Publisher: Duxbury Press
- Publish Date: 1984
- Publish Location: Boston, Mass
- Genres: Mathematics
“An Introduction to Statistical Methods and Data Analysis” Subjects and Themes:
- Subjects: ➤ Mathematical statistics - Textbooks - Mathematics - Statistics - Statistics as Topic - Textbooks as Topic - Mathématiques - Statistiques - Applied mathematics - Statistique mathématique - Statistiek - Datenanalyse - Statistik - Probability & statistics
Edition Specifications:
- Pagination: xi, 775 p. :
Edition Identifiers:
- Google Books ID: fsLaAAAAMAAJ
- The Open Library ID: OL3177960M - OL85422W
- Online Computer Library Center (OCLC) ID: 9970226
- Library of Congress Control Number (LCCN): 83020486
- ISBN-13: 9780871504739
- ISBN-10: 0871504731
- All ISBNs: 0871504731 - 9780871504739
AI-generated Review of “An Introduction to Statistical Methods and Data Analysis”:
Snippets and Summary:
What is statistics?
"An Introduction to Statistical Methods and Data Analysis" Description:
Google Books:
What is statistics? Data description; Probability and probability distributions; Inferences about; Catagorical data; Inferences about population variances; Linear regression and correlation; Inferences related to linear regression and correlation; Introduction to the analysis of variance; Multiple comparisons; Multiple regression and the general linear model; More on multiple regression; Analysis of variance for some standard experimental designs; Analysis of variance for some unbalanced designs; Analysis of variance for some fixed-random and mixed effects models; The analysis of covariance; Data management.
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