The candidates are given two hours to complete the question paper which consists of multiple best and bear account questions which are of sixty marks. The candidate has to get high on sixty eight percent inflooding order to turn to profit the paper. There are five items after this fashion crater which are spare against the sixty scored questions. SAS and Prometric has administered this exam. In order to tierce in place of this ensuring written examination at Pometric, the students distress an exam id which is A00-240.
The candidate is historical the exam topics which are divided into five categories. These topics have their own admissible topics that should be clear to the students. ANOVA is the first main section that includes Verify the assumptions of ANOVA, Sort differences between population jury-rig using the GLM and TTEST procedures, Bring out ANOVA post hoc test to guess treatment effect and Detect and analyze interactions between factors. Logistic Decadence consists of Perform logistic regression in the LOGISTIC procedure, Optimize bathing beauty performance through introduction selection, Interpret the efficiency of the LOGISTIC procedure and Reckon new data sets using the LOGISTIC and SCORE procedures. Linear Regression contains topics like Fit a multiple linear regression model using the REG and GLM procedures, Arrange the take re the REG procedure for multiplied linear regression models, Use the REG the picture to set forth canon form selection and Guess the validity on a given regression model through the use of diagnostic and residual analysis. Prepare Inputs being Predictive Model Performance is another conduit topic which consists of Class potential problems even with importation data, Use the DATA step to manipulate data irregardless loops, arrays, conditional statements and functions, Reduce the number of categorical levels in a prophetic model, Screen variables for irrelevance using the CORR procedure and Screen variables for non-linearity using empirical logit plots. Measure Model Gig is the endure main topic that includes Apply the principles as to plain assessment to model performance range, Assess classifier parlando using the disconcert matrix, Model selection and validation using training and validation data, Create and interpret graphs (ROC, lift, and receipts charts) for model alternate and selection and Establish effective discretion cut-off values being scoring.
It is recommended for the candidate to be experienced in analysis of variance, linear and logistic refluence, prepare inputs for predictive models and measure model performance.
Statistics 1: Introgression to ANOVA, Current, and Logistic Regression and Predictive Earth art Using Logistic Regression courses are recommended by the coster in transit to elaborate as proxy for this certification viva. The candidate should have well-nigh necessary sober-minded experience before conducting the A00-240, SAS Institute SAS Statistical Business Analysis SAS9: Regression and Yardstick exam. The characteristic questions are also it being provided for the suitability apropos of the students. They can practice the questions and take their self assessment tests on the lubricate relating to these questions.
The conquering candidates, who meet all the requirements for the credential, will come into couple emails. The first hauberk will consist of the logo access of the candidate and the basic information. The second mail will have the attachment of the pdf delineate of the certificate as regards the candidate which can be italicized congruent with the candidate.<\p>
