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Question: 2

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?

  1. The sample means from the validation data set are applied to the training and test data sets.
  2. The sample means from the training data set are applied to the validation and test data sets.
  3. The sample means from the test data set are applied to the training and validation data sets.
  4. The sample means from each partition of the data are applied to their own partition.


Answer: B

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Question: 4

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

  1. Simple random sampling without replacement
  2. Simple random sampling with replacement
  3. Stratified random sampling without replacement
  4. Sequential random sampling with replacement


Answer: AC

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Question: 4

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

  1. Simple random sampling without replacement
  2. Simple random sampling with replacement
  3. Stratified random sampling without replacement
  4. Sequential random sampling with replacement


Answer: AC

Question: 5

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

  1. Option A
  2. Option B
  3. Option C
  4. Option D


Answer: C