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Boost Your Performance in SAS Statistical Business Analyst (A00-240) Certification Exam

Click Here---> http://bit.ly/2LkaLMW <---Get complete detail on A00-240 exam guide to crack SAS 9. You can collect all information on A00-240 tutorial, practice test, books, study material, exam questions, and syllabus. Firm your knowledge on SAS 9 and get ready to crack A00-240 certification. Explore all information on A00-240 exam with number of questions, passing percentage and time duration to complete test.

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Boost Your Performance in SAS Statistical Business Analyst (A00-240) Certification Exam

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  1. How to Prepare for SAS Statistical Business Analyst A00-240 Certification? A00-240 Certification Made Easy with AnalyticsExam.com.

  2. SAS A00-240 Exam Summary: Exam Name SAS Certified Statistical Business Analyst Using SAS 9 A00-240 Exam Code 60 No. of Questions 68% Passing Score 120 minutes Time Limit $180 (USD) Exam Fees SAS Statistical Business Analyst Certification Practice Exam Online Practice Test SAS Statistical Business Analyst Certification Sample Question Sample Questions Rise & Shine with AnalyticsExam.com

  3. SAS Statistical Business Analyst Syllabus Content: Syllabus Topics: ANOVA - 10% Linear Regression - 20% Logistic Regression - 25% Prepare Inputs for Predictive Model Performance - 20% Measure Model Performance - 25% Rise & Shine with AnalyticsExam.com

  4. SAS Statistical Business Analyst Training: Recommended Training: ● Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression Rise & Shine with AnalyticsExam.com

  5. Tips to Prepare for A00-240 ● Understand the all Syllabus Topics. ● Perform SAS Statistical Business Analyst online test at AnalyticsExam.com. ● Identify your weak areas from SAS Statistical Business Analyst mock test and asses yourself frequently. Rise & Shine with AnalyticsExam.com

  6. SAS A00-240 Sample Questions Rise & Shine with AnalyticsExam.com

  7. Que.: 1 An analyst is screening for irrelevant variables by estimating strength of association between each input and the target variable. The analyst is using Spearman correlation and Hoeffding's D statistics in the CORR procedure. What would likely cause some inputs to have a large Hoeffding and a near zero Spearman statistic? Options: a) nonmonotonic association between the variables b) linear association between the variables c) monotonic association between the variables d) no association between the variables Rise & Shine with AnalyticsExam.com

  8. Answer: a) nonmonotonic association between the variables Rise & Shine with AnalyticsExam.com

  9. Que.: 2 When selecting variables or effects using SELECTION=BACKWARD in the LOGISTIC procedure, the business analyst's model selection terminated at Step 3. What happened between Step 1 and Step 2? Options: a) DF increased. b) AIC increased. c) Pr > Chisq increased. d) - 2 Log L increased. Rise & Shine with AnalyticsExam.com

  10. Answer: d) - 2 Log L increased. Rise & Shine with AnalyticsExam.com

  11. Que.: 3 Which statement is an assumption of logistic regression? Options: a) The sample size is greater than 100. b) The logit is a linear function of the predictors. c) The predictor variables are not correlated. d) The errors are normally distributed. Rise & Shine with AnalyticsExam.com

  12. Answer: b) The logit is a linear function of the predictors. Rise & Shine with AnalyticsExam.com

  13. Que.: 4 An analyst builds a logistic regression model which is 75% accurate at predicting the event of interest on the training data set. The analyst presents this accuracy rate to upper management as a measure of model assessment. What is the problem with presenting this measure of accuracy for model assessment? Options: a) This accuracy rate is redundant with the misclassification rate. b) It is pessimistically biased since it is calculated from the data set used to train the model. c) This accuracy rate is redundant with the average squared error. d) It is optimistically biased since it is calculated from the data used to train the model. Rise & Shine with AnalyticsExam.com

  14. Answer: d) It is optimistically biased since it is calculated from the data used to train the model. Rise & Shine with AnalyticsExam.com

  15. Que.: 5 An analyst has determined that there exists a significant effect due to region. The analyst needs to make pairwise comparisons of all eight regions and wants to control the experimentwise error rate. Which GLM procedure statement would provide the correct output? Options: a) lsmeans Region / pdiff=all adjust=dunnett; b) lsmeans Region / pdiff=all adjust=tukey; c) lsmeans Region / pdiff=all adjust=lsd; d) lsmeans Region / pdiff=all adjust=none; Rise & Shine with AnalyticsExam.com

  16. Answer: b) lsmeans Region / pdiff=all adjust=tukey; Rise & Shine with AnalyticsExam.com

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