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Question 1:

When mean imputation is performed on data after the data is partitioned for honest assessment, what is the most appropriate method for handling the mean imputation?

A. The sample means from the validation data set are applied to the training and test data sets.

B. The sample means from the training data set are applied to the validation and test data sets.

C. The sample means from the test data set are applied to the training and validation data sets.

D. The sample means from each partition of the data are applied to their own partition.

Correct Answer: B

Question 2:

Which SAS program will divide the original data set into 60% training and 40% validation data sets, stratified by county?

A. Option A

B. Option B

C. Option C

D. Option D

Correct Answer: C

Question 3:

Refer to the lift chart:

At a depth of 0.1, Lift = 3.14. What does this mean?

A. Selecting the top 10% of the population scored by the model should result in 3.14 times more events than a random draw of 10%.

B. Selecting the observations with a response probability of at least 10% should result in 3.14 times more events than a random draw of 10%.

C. Selecting the top 10% of the population scored by the model should result in 3.14 timesgreater accuracy than a random draw of 10%.

D. Selecting the observations with a response probability of atleast 10% should result in 3.14times greater accuracy than a random draw of 10%.

Correct Answer: A

Question 4:

Refer to the exhibit:

Based upon the comparative ROC plot for two competing models, which is the champion model and why?

A. Candidate 1, because the area outside the curve is greater

B. Candidate 2, because the area under the curve is greater

C. Candidate 1, because it is closer to the diagonal reference curve

D. Candidate 2, because it shows less over fit than Candidate 1

Correct Answer: B

Question 5:

A confusion matrix is created for data that were oversampled due to a rare target. What values are not affected by this oversampling?

A. Sensitivity and PV

B. Specificity and PV

C. PV and PV

D. Sensitivity and Specificity

Correct Answer: D

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Question 6:

This question will ask you to provide missing code segments.

A logistic regression model was fit on a data set where 40% of the outcomes were events (TARGET=1) and 60% were non-events (TARGET=0). The analyst knows that the population where the model will be deployed has 5% events and 95% non-events. The analyst also knows that the company\’s profit margin for correctly targeted events is nine times higher than the company\’s loss for incorrectly targeted non-event.

Given the following SAS program:

What X and Y values should be added to the program to correctly score the data?

A. X=40, Y=10

B. X=.05, Y=10

C. X=.05, Y=.40

D. X=.10.Y=05

Correct Answer: B

Question 7:

Refer to the confusion matrix:

Calculate the sensitivity. (0 – negative outcome, 1 – positive outcome)

Click the calculator button to display a calculator if needed.

A. 25/48

B. 58/102

C. 25/B9

D. 58/81

Correct Answer: A

Question 8:

Refer to the exhibit.

Based on the control plot, which conclusion is justified regarding the means of the response?

A. All groups are significantly different from each other.

B. 2XL is significantly different from all other groups.

C. Only XL and 2XL are not significantly different from each other.

D. No groups are significantly different from each other.

Correct Answer: C

Question 9:

Customers were surveyed to assess their intent to purchase a product. An analyst divided the customers into groups defined by the company\’s pre-assigned market segments and tested for difference in the customers\’ average intent to purchase. The following is the output from the GLM procedure:

What percentage of customers\’ intent to purchase is explained by market segment? Click the calculator button to display a calculator if needed.

A. <0.01%

B. 35%

C. 65%

D. 76%

Correct Answer: D

Question 10:

An analyst compares the mean salaries of men and women working at a company. The SAS data set SALARY contains variables:

Which SAS programs can be used to find the p-value for comparing men\’s salaries with women\’s salaries? (Choose two.)

A. Option A

B. Option B

C. Option C

D. Option D

Correct Answer: AB

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