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SAS Certification Prep Guide : Statistical Business Analysis Using SAS9
by Joni N. Shreve and Donna Dea Holland




Overview -
Must-have study guide for the SAS(R) Certified Statistical Business Analyst Using SAS(R)9: Regression and Modeling exam

Written for both new and experienced SAS programmers, the SAS(R) Certification Prep Guide: Statistical Business Analysis Using SAS(R)9 is an in-depth prep guide for the SAS(R) Certified Statistical Business Analyst Using SAS(R)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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More About SAS Certification Prep Guide by Joni N. Shreve; Donna Dea Holland

 
 
 

Overview

Must-have study guide for the SAS(R) Certified Statistical Business Analyst Using SAS(R)9: Regression and Modeling exam

Written for both new and experienced SAS programmers, the SAS(R) Certification Prep Guide: Statistical Business Analysis Using SAS(R)9 is an in-depth prep guide for the SAS(R) Certified Statistical Business Analyst Using SAS(R)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.



This item is Non-Returnable.

 

Details

  • ISBN-13: 9781642951806
  • ISBN-10: 1642951803
  • Publisher: SAS Institute
  • Publish Date: December 2018
  • Page Count: 414
  • Dimensions: 11 x 8.5 x 0.94 inches
  • Shipping Weight: 2.74 pounds


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