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Question ID 20191

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?

Option A

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

Option B

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

Option C

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

Option D

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

Correct Answer B
Explanation


Question ID 20192

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?

Option A

Scoredata=valid1 out=roc;

Option B

Scoredata=valid1 outroc=roc;

Option C

mode1resp(event= '1') = gender region/outroc=roc;

Option D

mode1resp(event"1") = gender region/ out=roc;

Correct Answer B
Explanation

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