Data analysis using SAS /
This is a comprehensive core text providing students with a hands-on, exercise-heavy method for learning basic to intermediate SAS commands while understanding how to apply statistics and reasoning to real-world problems.
| Основен автор: | Peng, C. Y. Joanne. |
|---|---|
| Формат: | Електронна книга |
| Език: | English |
| Публикувано: |
Los Angeles [Calif.] ; London :
Sage,
℗♭2009.
|
| Предмети: | |
| Онлайн достъп: |
http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=478042 |
Съдържание:
- 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.