SAS Certification Prep Guide
- Statistical Business Analysis Using SAS9
- Indbinding:
- Hardback
- Sideantal:
- 414
- Udgivet:
- 18. december 2018
- Størrelse:
- 279x216x24 mm.
- Vægt:
- 1243 g.
- 8-11 hverdage.
- 13. december 2024
Forlænget returret til d. 31. januar 2025
Normalpris
Abonnementspris
- Rabat på køb af fysiske bøger
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af SAS Certification Prep Guide
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 Statistical Business Analyst Using SAS®9: Regression and Modeling exam.
The authors step through identifying the business question, generating results with SAS, and interpreting the output in a business context. The case study approach uses both real and simulated data to master the content of the certification exam. Each chapter also includes a quiz aimed at testing the reader's comprehension of the material presented.
Major topics include:
ANOVA
Linear Regression
Logistic Regression
Inputs for Predictive Modeling
Model Performance
For those new to statistical topics or those needing a review of statistical foundations, this book also serves as an excellent reference guide for understanding descriptive and inferential statistics.
Appendices can be found here.
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 Statistical Business Analyst Using SAS®9: Regression and Modeling exam.
The authors step through identifying the business question, generating results with SAS, and interpreting the output in a business context. The case study approach uses both real and simulated data to master the content of the certification exam. Each chapter also includes a quiz aimed at testing the reader's comprehension of the material presented.
Major topics include:
ANOVA
Linear Regression
Logistic Regression
Inputs for Predictive Modeling
Model Performance
For those new to statistical topics or those needing a review of statistical foundations, this book also serves as an excellent reference guide for understanding descriptive and inferential statistics.
Appendices can be found here.
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