360°
Concept#Data#Analytics

Central Tendency

Central tendency summarizes a dataset by identifying a single representative value (mean, median, mode). It guides reporting, comparison and modeling choices by describing the 'center' of distributions. Selection depends on data scale, distribution and outliers; understanding trade-offs is essential for valid interpretation.

This block bundles baseline information, context, and relations as a neutral reference in the model.

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Definition · Framing · Trade-offs · Examples

What is this view?

This page provides a neutral starting point with core facts, structure context, and immediate relations—independent of learning or decision paths.

Baseline data

Context
Organizational level
Domain
Organizational maturity
Intermediate
Impact area
Technical
Decision
Decision type
Design
Value stream stage
Discovery
Assessment
Complexity
Medium
Maturity
Established
Cognitive load
Medium

Context in the model

Structural placement

Where this block lives in the structure.

No structure path available.

Relations

Connected blocks

Directly linked content elements.

Structure · Contains
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