SAS A00-240 Certification Exam Syllabus

A00-240 Syllabus, A00-240 PDF Download, SAS A00-240 Dumps, SAS Statistical Business Analyst PDF Download, SAS Certified Statistical Business Analyst Using SAS 9 - Regression and Modeling Certification

This page is a one-stop solution for any information you may require for SAS Certified Statistical Business Analyst Using SAS 9 - Regression and Modeling (A00-240) Certification exam. The SAS A00-240 Exam Summary, Syllabus Topics and Sample Questions provide the base for the actual SAS Certified Statistical Business Analyst - Regression and Modeling exam preparation, we have designed these resources to help you get ready to take your dream exam.

The SAS Certified Statistical Business Analyst Using SAS 9 - Regression and Modeling credential is globally recognized for validating SAS Statistical Business Analyst knowledge. With the SAS Certified Statistical Business Analyst - Regression and Modeling Certification credential, you stand out in a crowd and prove that you have the SAS Statistical Business Analyst knowledge to make a difference within your organization. The SAS Certified Statistical Business Analyst Using SAS 9 - Regression and Modeling Certification (A00-240) exam will test the candidate's knowledge on following areas.

SAS A00-240 Exam Summary:

Exam Name SAS Certified Statistical Business Analyst Using SAS 9 - Regression and Modeling
Exam Code A00-240
Exam Duration 120 minutes
Exam Questions 60 multiple-choice and short-answer questions
Passing Score 68%
Exam Price $180 (USD)
Training Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression
Predictive Modeling Using Logistic Regression
Books  
Exam Registration Pearson VUE
Sample Questions SAS Statistical Business Analyst Certification Sample Question
Practice Exam SAS Statistical Business Analyst Certification Practice Exam

SAS A00-240 Exam Topics:

Objective (weightage %) Details
ANOVA - (10%)
- Verify the assumptions of ANOVA
- Analyze differences between population means using the GLM and TTEST procedures
- Perform ANOVA post hoc test to evaluate treatment effect
- Detect and analyze interactions between factors
Linear Regression - (20%)
- Fit a multiple linear regression model using the REG and GLM procedures
- Analyze the output of the REG procedure for multiple linear regression models
- Use the REG procedure to perform model selection
- Assess the validity of a given regression model through the use of diagnostic and residual analysis
Logistic Regression - (25%)
- Perform logistic regression with the LOGISTIC procedure
- Optimize model performance through input selection
- Interpret the output of the LOGISTIC procedure
- Score new data sets using the LOGISTIC and SCORE procedures
Prepare Inputs for Predictive Model Performance - (20%)
- Identify potential problems with input data
- Use the DATA step to manipulate data with loops, arrays, conditional statements and functions
- Reduce the number of categorical levels in a predictive model
- Screen variables for irrelevance using the CORR procedure
- Screen variables for non-linearity using empirical logit plots
Measure Model Performance - (25%)
- Apply the principles of honest assessment to model performance measurement
- Assess classifier performance using the confusion matrix
- Model selection and validation using training and validation data
- Create and interpret graphs (ROC, lift, and gains charts) for model comparison and selection
- Establish effective decision cut-off values for scoring

The SAS has created this credential to assess the knowledge and understanding of a candidate in the area as above via the certification exam. The SAS Statistical Business Analyst (A00-240) Certification exam contains a high value in the market being the brand value of the SAS attached with it. It is highly recommended to a candidate to do a thorough study and also get a hand full of the practice to clear SAS Certified Statistical Business Analyst Using SAS 9 - Regression and Modeling exam without any hiccups.

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