Best SASInstitute A00-240 2023 Training With 100 QA's
SASInstitute A00-240 Certification Exam Questions
A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Certification Path
The A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Certification is one of the highest level of certification mainly focussing to the Advanced statistical analysis.
if you pass your exam and meet all requirements for a credential, you will receive an e-mail from SAS within 72 business hours with instructions providing access to your certificate and logo through the SAS Certification Manager. You will also receive an email from Acclaim with access to your digital badge. For questions regarding access to either of these, please visit SAS Website.
Introduction to A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam
According to SAS, SAS® Certified Statistical Business Analyst for SAS®9 this credentials signifies the upper echelon of SAS programmers who demonstrate a high level of proficiency in SAS® programming expertise.
A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam is a certification exam that is conducted by Google to validates candidate knowledge and skills of working as a Statistical Business Analyst in the Company.
A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling exam covers the basic and advanced concepts of variance analysis, linear and logistic regression, preparing inputs for predictive models and measuring model performance.
After passing this exam, candidates get a certificate from SAS that helps them to demonstrate their proficiency in A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling to their clients and employers.
NEW QUESTION 59
The question will ask you to provide a missing statement. Given the following SAS program:
Which SAS statement will complete the program to correctly score the data set NEW_DATA?
- A. Score data data=MYDIR.NEW_DATA output=scores;
- B. Score data=HYDIR.NEU_DATA output=scores;
- C. Score data data=MYDIR.NEW_DATA out=scores;
- D. Score data=MYDIR, NEW DATA out=scores;
Answer: D
NEW QUESTION 60
Refer to the exhibit:
On the Gains Chart, what is the correct interpretation of the horizontal reference line?
- A. the proportion of cases that cannot be classified
- B. the prior event rate
- C. the probability of a false negative
- D. the probability of a false positive
Answer: C
NEW QUESTION 61
Given the following GLM procedure output:
Which statement is correct at an alpha level of 0.05?
- A. School should be removed because it is significant.
- B. Gender should be removed because it is non-significant.
- C. Gender should not be removed due to its involvement in the significant interaction.
- D. School*Gender should be removed because it is non-significant.
Answer: C
NEW QUESTION 62
Refer to the exhibit.
Given alpha=0.02, which conclusion is justified regarding percentage of body fat, comparing small (S), medium (M), and large (L) wrist sizes?
- A. Large wrist size is significantly different than small wrist size.
- B. Large wrist size is significantly different than medium wrist size.
- C. There is no significant difference due to wrist size.
- D. Medium wrist size is significantly different than small wrist size.
Answer: A
NEW QUESTION 63
Select the equivalent LOGISTIC procedure model statements. (Choose two.)
- A. Mode1 Purchase * Gender Age Region;
- B. Mode1 Purchase * Gender|Age|Region @1;
- C. Mode1 Purchase * Gender | Age | Region;
- D. Mode1 Purchase * Gender|Age|Region @2;
Answer: A,B
NEW QUESTION 64
A marketing campaign will send brochures describing an expensive product to a set of customers. The cost for mailing and production per customer is $50. The company makes $500 revenue for each sale.
What is the profit matrix for a typical person in the population?
- A. Option B
- B. Option C
- C. Option D
- D. Option A
Answer: B
NEW QUESTION 65
When working with smaller data sets (N<200), which method is preferred to perform honest assessment?
- A. Use the AIC goodness of fit statistic
- B. K-fold cross validation
- C. Training: 40% Validation: 30% Testing: 30%
- D. Cross validation using 4th quartile observations
Answer: D
NEW QUESTION 66
Refer to the exhibit.
Based on the control plot, which conclusion is justified regarding the means of the response?
- A. Only XL and 2XL are not significantly different from each other.
- B. No groups are significantly different from each other.
- C. All groups are significantly different from each other.
- D. 2XL is significantly different from all other groups.
Answer: A
NEW QUESTION 67
Refer to the exhibit:
Which statement is true, based on the plots above?
- A. Approximately twice as many customers with the top ten percent of predicted probabilities are expected to have a positive versus negative event.
- B. Approximately ten percent of those customers with the top twenty percent of predicted probabilities are expected to have a positive event.
- C. Approximately ten percent of a randomly selected subset of twenty percent of the customers are expected to have a positive event.
- D. Approximately twenty percent of the customers with a predicted score of 3 have a positive predicted class.
Answer: A
NEW QUESTION 68
A company has branch offices in eight regions. Customers within each region are classified as either "High Value" or "Medium Value" and are coded using the variable name VALUE. In the last year, the total amount of purchases per customer is used as the response variable.
Suppose there is a significant interaction between REGION and VALUE. What can you conclude?
- A. The difference between average purchases for medium and high value customers depends on the region.
- B. Regions with higher average purchases have more medium value customers.
- C. More high value customers are found in some regions than others.
- D. Regions with higher average purchases have more high value customers.
Answer: A
Explanation:
Explanation/Reference:
NEW QUESTION 69
Spearman statistics in the CORR procedure are useful for screening for irrelevant variables by investigating the association between which function of the input variables?
- A. Rank-ordered values of the variables
- B. Logit link (log (p/1-p))
- C. Weighted sum of chi-square statistics for 2x2 tables
- D. Concordant and discordant pairs of ranked observations
Answer: A
NEW QUESTION 70
This question will ask you to provide a missing option. Given the following SAS program:
What option must be added to the program to obtain a data set containing Pearson statistics?
- A. OUTP=estimates
- B. OUTSTAT=estimates
- C. OUTPUT=estimates
- D. OUTCORR=estimates
Answer: A
NEW QUESTION 71
Consider scoring new observations in the SCORE procedure versus the SCORE statement in the LOGISTIC procedure.
Which statement is true?
- A. The SCORE procedure and the SCORE statement in the LOGISTIC procedure produce the same output.
- B. Unlike the SCORE procedure, the SCORE statement in the LOGISTIC procedure produces both predicted probabilities and predicted logits.
- C. The SCORE statement in the LOGISTIC procedure returns only predicted logits, whereas the SCORE procedure returns only predicted probabilities.
- D. The SCORE statement in the LOGISTIC procedure returns only predicted probabilities, whereas the SCORE procedure returns only predicted logits.
Answer: D
Explanation:
Explanation/Reference:
NEW QUESTION 72
Refer to the exhibit.
These graphs were created using the GLM procedure with the plots(only)=diagnosticsoption.
Which plot do you use to identify influential observations?
- A. Fit - Mean and Residual Plot
- B. Residual by Quantile
- C. Cook's D by Observation
- D. Residual by Predicted
Answer: C
Explanation:
Explanation/Reference: https://books.google.com.pk/books?id=fx77Pzerty8C&pg=PA279&lpg=PA279&dq=sas+statistical
+analysis+plot+do+you+use+to+identify+influential
+observations&source=bl&ots=AJavSAql_g&sig=ACfU3U0jbAa6lTWvSeSJ6y5bwp4osAyigA&hl=en&sa=X&ve d=2ahUKEwje34nyqajnAhXDThUIHUfUCj0Q6AEwEXoECAoQAQ#v=onepage&q=sas%20statistical%
20analysis%20plot%20do%20you%20use%20to%20identify%20influential%20observations&f=false
NEW QUESTION 73
Given the following SAS data set TEST:
Which SAS program is NOT a correct way to create dummy variables?
- A. Option B
- B. Option D
- C. Option A
- D. Option C
Answer: B
NEW QUESTION 74
Refer to the following exhibit:
What is a correct interpretation of this graph?
- A. The association between the continuous predictor and the log-odds is quadratic.
- B. The association between the continuous predictor and the binary response is quadratic.
- C. The association between the binary predictor and the log-odds is quadratic.
- D. The association between the continuous predictor and the continuous response is quadratic.
Answer: A
NEW QUESTION 75
Which SAS program will divide the original data set into 60% training and 40% validation data sets,
stratified by county?
- A. Option B
- B. Option C
- C. Option D
- D. Option A
Answer: B
NEW QUESTION 76
This question will ask you to provide a missing option.
Given the following SAS program:
What option must be added to the program to obtain a data set containing Spearman statistics?
- A. OUT=estimates
- B. OUTS=estimates
- C. OUTCORR=estimates
- D. OUTPUT=estimates
Answer: D
NEW QUESTION 77
This question will ask you to provide a missing option.
Complete the following syntax to test the homogeneity of variance assumption in the GLM procedure:
Means Region / <insert option here> =levene;
- A. adjust
- B. var
- C. test
- D. hovtest
Answer: D
NEW QUESTION 78
A financial services manager wants to assess the probability that certain clients will default on their Home Equity Line of Credit (HELOC). A former employee left the code listed below.
The training data set is named HELOC, while a similar data set of more recent clients is named RECENT_HELOC. Which SAS data steps will calculate the predicted probability of default on recent clients?
(Choose two.)
- A. Option B
- B. Option D
- C. Option A
- D. Option C
Answer: A,C
NEW QUESTION 79
Within PROC GLM, the interaction between the two categorical predictors, Income and Gender, was shown to be significant. An item store was saved from the GLM analysis.
Which statement from PROC PLM would test the significance of Gender within each level of Income and adjust for multiple tests?
sliceby Gender / adjust=tukey;
- A. sliceby Income / adjust=tukey;
- B. slice Income*Gender / sliceby=Gender adjust=tukey;
- C. slice Income*Gender / sliceby=Income adjust=tukey;
- D.
Answer: D
NEW QUESTION 80
Which SAS program will divide the original data set into 60% training and 40% validation data sets, stratified by county?
- A. Option B
- B. Option C
- C. Option D
- D. Option A
Answer: B
NEW QUESTION 81
A confusion matrix is created for data that were oversampled due to a rare target.
What values are not affected by this oversampling?
- A. Specificity and PV
- B. Sensitivity and PV+
- C. Sensitivity and Specificity
- D. PV+ and PV
Answer: C
NEW QUESTION 82
Refer to the exhibit:
The box plot was used to analyze daily sales data following three different ad campaigns.
The business analyst concludes that one of the assumptions of ANOVA was violated.
Which assumption has been violated and why?
- A. Normality, because the interquartile ranges are different in different ad campaigns.
- B. Constant variance, because the interquartile ranges are different in different ad campaigns.
- C. Normality, because Prob > F < .0001.
- D. Constant variance, because Prob > F < .0001.
Answer: B
NEW QUESTION 83
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