SAS Exam A00-240 Topic 7 Question 87 Discussion

Actual exam question for SAS's A00-240 exam

Question #: 87
Topic #: 7

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?

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

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

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

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

Show Suggested Answer

Suggested Answer: C

by Lorita at May 11, 2024, 01:12 AM

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Ressie

1 days ago

I agree with Maile. It makes sense to use the sample means from the training data set for consistency across the different partitions.

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Maile

3 days ago

I think the most appropriate method is B) The sample means from the training data set are applied to the validation and test data sets.

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Sylvie

4 days ago

I see both points, but I think D) The sample means from each partition of the data should be applied to their own partition makes the most sense for unbiased results.

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Nicholle

5 days ago

I disagree, I believe B) The sample means from the training data set should be applied to the validation and test data sets.

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Ciara

6 days ago

I was initially leaning towards Option B, but Option D makes more sense. Applying the training set means to the validation and test sets could introduce bias.

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Kimberely

7 days ago

I think the most appropriate method is A) The sample means from the validation data set are applied to the training and test data sets.

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Helga

7 days ago

Option D seems like the correct choice here. Applying the sample means from each partition to their own partition is the most appropriate way to handle mean imputation after partitioning the data.

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