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SAS certification prep guide : statistical business analysis using SAS9 /
Must-have study guide for the SAS® Certified Statistical Business Analyst Using SAS®9: Regression and Modeling exam! Written for both new and experienced SAS programmers, the SAS® Certification Prep Guide: Statistical Business Analysis Using SAS®9 is an in-depth prep guide for the SAS® Certified Sta...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cary, NC :
SAS Institute,
2018.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Intro; Contents; About This Book; What Does This Book Cover?; Requirements and Details; Exam Objectives; Take a Practice Exam; Registering for the Exam; Syntax Conventions; What Should You Know about the Examples?; Software Used to Develop the Book's Content; Example Code and Data; SAS University Edition; Where Are the Exercise Solutions?; We Want to Hear from You; Chapter 1: Statistics and Making Sense of Our World; Introduction; What Is Statistics?; The Two Branches of Statistics; Variable Types and SAS Data Types; Variable Types; Table 1.1 Data for the Study of Diabetes; SAS Data Types
- The Data Analytics ProcessDefining the Purpose; Table 1.2 Examples of Analyses by Purpose for Various Industries; Data Preparation; Sampling; Cleaning the Data; Exploring the Data; Analyzing the Data and Roadmap to the Book; Table 1.3 Summary of Statistical Models for Business Analysis Certification by Variable Role; Conclusions and Interpretation; Getting Started with SAS; Diabetic Care Management Case; Ames Housing Case; Table 1.4 List of Data Sets Used in the Book by Chapter; Accessing the Data in the SAS Environment
- Program 1.1 PROC CONTENTS of the Diabetes Care Management Case Data SetSAS Log 1.1 PROC CONTENTS of the Diabetes Care Management Case Data Set; Output 1.1 PROC CONTENTS of the Diabetes Care Management Case Data Set; Key Terms; Chapter 2: Summarizing Your Data with Descriptive Statistics; Introduction; Measures of Center; Mean; Figure 2.1 Time to Process Online Orders (in Hours); Median; Mode; Table 2.1 Number of Deaths for Top Ten Causes
- 2014 United States; Measures of Variation; Range; Table 2.2 Time to Process Orders (in Hours) by Retailer; Figure 2.2 Time to Process Orders (in Hours)
- VarianceTable 2.3 Descriptive Statistics for Time to Process Orders; Table 2.4 Calculations for Variance as Average Squared Deviations; Standard Deviation; Measures of Shape; Skewness; Figure 2.3 Examples of Symmetric and Asymmetric Distributions; Table 2.5 Sum of Z3 Values for Calculating Skewness; Kurtosis; Figure 2.4 Examples of Kurtosis as Compared to the Normal Distribution; Table 2.6 Sum of Z4 Values for Calculating Kurtosis; Other Descriptive Measures; Percentiles, the Five-Number-Summary, and the Interquartile Range (IQR); Percentiles
- The Five-Number-Summary and the Interquartile Range (IQR)Figure 2.5 Time to Process Online Orders (in Hours) for Retailer 2; Outliers; The MEANS Procedure; Procedure Syntax for PROC MEANS; Program 2.1 PROC MEANS of Process Time and Amount Spent for Retailer 1; Output 2.1 PROC MEANS of Process Time and Amount Spent for Retailer 1; Customizing Output with the VAR statement and Statistics Keywords; Program 2.2 PROC MEANS with Additional Descriptive Statistics of Process Time for Retailer 1; Output 2.2 PROC MEANS with Additional Descriptive Statistics of Process Time for Retailer 1