Title Statements
- Full title :Data analysis using SAS / C.Y. Joanne Peng.
Summary
"[Book title] articulates reasons for learning SAS, walks readers through writing and executing SAS programs, and aids them in interpreting results--all in the context of understanding data and their implications."--Back cover
Read More ↓Edition Statements
- Publication Date:©2009.
Publication Statements
- Publisher(s):SAGE
- Place of Publication:Los Angeles
- Language:eng
- Publication Date:©2009.
The Physical Object
- Description:xii, 627 pages : : illustrations ; : 26 cm
Edition Identifiers
- ISBN:9781412956741, 1412956749
- oclc:ocn212376101
- LC Classification:QA276.4
- Dewey Decimal:519.50285
Table of Contents
I: Introduction to SAS and basic data analysis -- Why do you need to learn SAS for data analysis? -- Where do you start? -- How to prepare data for SAS processing -- From data to a SAS data set -- Enhancing the readability of SAS programs and output -- Verifying data -- Data transformation -- II: Statistical procedures -- Quick descriptive analysis -- Comprehensive descriptive analysis and normality test -- Graphing data -- Categorical data analysis -- t-Test of population means -- Analysis of variance -- Inferences about two or more population typical scores by ranks -- Examining trends in data -- Correlation -- When do you stop worrying and start loving regression? -- III: Advanced data and file management -- Selecting variables or observations from a SAS data set -- Repetitive and conditional data processing -- Structuring SAS data sets.
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