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Question 1:

Refer to the ROC curve:

As you move along the curve, what changes?

A. The priors in the population

B. The true negative rate in the population

C. The proportion of events in the training data

D. The probability cutoff for scoring

Correct Answer: D

Question 2:

An analyst generates a model using the LOGISTIC procedure. They are now interested in getting the sensitivity and specificity statistics on a validation data set for a variety of cutoff values. Which statement and option combination will generate these statistics?

A. Scoredata=valid1 out=roc;

B. Scoredata=valid1 outroc=roc;

C. mode1resp(event= \’1\’) = gender region/outroc=roc;

D. mode1resp(event”1″) = gender region/ out=roc;

Correct Answer: B

Question 3:

In partitioning data for model assessment, which sampling methods are acceptable? (Choose two.)

A. Simple random sampling without replacement

B. Simple random sampling with replacement

C. Stratified random sampling without replacement

D. Sequential random sampling with replacement

Correct Answer: AC

Question 4:

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 5:

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

A00-240 Practice TestA00-240 Exam QuestionsA00-240 Braindumps

Question 6:

Suppose training data are oversampled in the event group to make the number of events and non-events roughly equal. A logistic regression is run and the probabilities are output to a data set NEW and given the variable name PE. A decision rule considered is, “Classify data as an event if probability is greater than 0.5.” Also the data set NEW contains a variable TG that indicates whether there is an event (1=Event, 0= No event).

The following SAS program was used.

What does this program calculate?

A. Depth

B. Sensitivity

C. Specificity

D. Positive predictive value

Correct Answer: B

Question 7:

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. Medium wrist size is significantly different than small wrist size.

B. Large wrist size is significantly different than medium wrist size.

C. Large wrist size is significantly different than small wrist size.

D. There is no significant difference due to wrist size.

Correct Answer: C

Question 8:

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

Question 9:

Given the following GLM procedure output:

Which statement is correct at an alpha level of 0.05?

A. School*Gender should be removed because it is non-significant.

B. Gender should be removed because it is non-significant.

C. School should be removed because it is significant.

D. Gender should not be removed due to its involvement in the significant interaction.

Correct Answer: D

Question 10:

Given the following SAS data set TEST:

Which SAS program is NOT a correct way to create dummy variables?

A. Option A

B. Option B

C. Option C

D. Option D

Correct Answer: D

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