What is the process of selecting a subset of data for analysis called?Select one:a.Filteringb.Samplingc.Normalizingd.Cleaning

Step 1: Break Down the Problem

We need to identify the correct term that describes the process of choosing a subset of data for the purpose of analysis. The options provided are:

1. Filtering
2. Sampling
3. Normalizing
4. Cleaning

Step 2: Relevant Concepts

To determine the correct answer, let's briefly review the meanings of each option:

1. Filtering: Often used to describe the process of excluding certain data points based on specific criteria.
2. Sampling: Refers to the process of selecting a representative subset of individuals or items from a larger population.
3. Normalizing: The process of adjusting values in datasets to a common scale, often used to prepare data for analysis.
4. Cleaning: Refers to the process of correcting or removing erroneous data from a dataset.

Step 3: Analysis and Detail

• Filtering doesn't inherently imply selection for analysis; it's about excluding or including based on conditions.
• Sampling, however, directly pertains to the process of selecting a subset for the purpose of obtaining representative insights.
• Normalizing and Cleaning are more about data preparation rather than selection for analysis.

Step 4: Verify and Summarize

Based on the definitions, Sampling is the correct term for selecting a subset of data for analysis.

Final Answer

The answer is b. Sampling.