It covers the creation of datasets in SAS, debugging a program, the overall construction of a SAS program, all DATA Step operations, t-tests, confidence intervals, simple linear regression, and ANOVA. The book is full of examples and computer-based exercises, and has been developed from teaching from the material over many years.
It covers the creation of datasets in SAS, debugging a program, the overall construction of a SAS program, all DATA Step operations, t-tests, confidence intervals, simple linear regression, and ANOVA. The book is full of examples and computer-based exercises, and has been developed from teaching from the material over many years.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Carla L. Goad is a Professor of Statistics at Oklahoma State University. She holds a Ph.D. in Statistics from Kansas State University. SAS Programming has been an integral part of her work since the late 1980's. She has been teaching an introductory SAS programming course and SAS applications in graduate statistical methods courses since the mid 1990's. Her areas of expertise are experimental design and analysis and linear models. She is a statistical consultant for the Oklahoma Agriculture Experiment Station and has enjoyed working with agricultural researchers in animal and plant sciences. Through these collaborations she has coauthored many articles in agriculture research journals.
Inhaltsangabe
1. Introduction to SAS Programming Environment 2. DATA Step Information 1 3. Summarizing Data Basics 4. DATA Step Information - 2 5. Beginning Charts 6. One and Two Population Hypothesis Tests about the Means 7. One-way ANOVA Methods, Non-Parametric Methods and Ranking Data 8. Data Step Information 3 - Reading Data Files & Labeling Variables 9. Frequency Analysis 10. Summarizing a Data Table in a Formal Report 11. Regression and Correlation Analysis 12. SAS Libraries and Permanent SAS Data Sets 13. DATA Step Information 4 - SAS Probability Functions 14. Reading and Writing Data Files 15. DATA Step Information 5 - DO Loops, Arrays, and Random Number Generation 16. Statistical Graphics Procedures 17. SAS/GRAPH Procedures 18. Formatting Responses 19. Output Delivery System (ODS) 20. Miscellaneous Topics
1. Introduction to SAS Programming Environment 2. DATA Step Information 1 3. Summarizing Data Basics 4. DATA Step Information - 2 5. Beginning Charts 6. One and Two Population Hypothesis Tests about the Means 7. One-way ANOVA Methods, Non-Parametric Methods and Ranking Data 8. Data Step Information 3 - Reading Data Files & Labeling Variables 9. Frequency Analysis 10. Summarizing a Data Table in a Formal Report 11. Regression and Correlation Analysis 12. SAS Libraries and Permanent SAS Data Sets 13. DATA Step Information 4 - SAS Probability Functions 14. Reading and Writing Data Files 15. DATA Step Information 5 - DO Loops, Arrays, and Random Number Generation 16. Statistical Graphics Procedures 17. SAS/GRAPH Procedures 18. Formatting Responses 19. Output Delivery System (ODS) 20. Miscellaneous Topics
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