DA0-001 · Question #112
When analyzing the values of two variables, you decide to convert both variables so they are on a scale of 0 to 1. What term describes this action?
The correct answer is B. Normalization. Converting variable values to a common scale of 0 to 1 is called Normalization (specifically, Min-Max Normalization). The formula is: (value − min) / (max − min). This technique ensures that no single variable dominates an analysis due to differences in scale. Filtering removes…
Question
When analyzing the values of two variables, you decide to convert both variables so they are on a scale of 0 to 1. What term describes this action?
Options
- AFiltering.
- BNormalization.
- CTransposition.
- DAggregation.
How the community answered
(42 responses)- A2% (1)
- B90% (38)
- C5% (2)
- D2% (1)
Explanation
Converting variable values to a common scale of 0 to 1 is called Normalization (specifically, Min-Max Normalization). The formula is: (value − min) / (max − min). This technique ensures that no single variable dominates an analysis due to differences in scale. Filtering removes rows/columns based on criteria. Transposition swaps rows and columns. Aggregation summarizes data (e.g., SUM, AVG). Only normalization describes the 0-to-1 rescaling action.
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