A process of determining the small minority of a population that accounts for themajority of given effect is called:

Pareto analysis is a decision-making technique based on the Pareto Principle, also known as the 80/20 rule. This principle observes that for many outcomes, roughly 80% of consequences come from 20% of the causes. The analysis involves categorizing and ranking contributing factors from most to least frequent, allowing an organization to focus its improvement efforts on the "vital few" causes that are responsible for the majority of the problems or effects, rather than the "trivial many." This directly matches the process described in the question.

B. Statistical analysis: This is a broad category of methods. Pareto analysis is a specific type of statistical analysis, making option A more precise and therefore the better answer.

C. Population analysis: This term typically refers to the study of population dynamics in fields like demography or ecology, not the analysis of cause-and-effect in business or quality processes.

D. None of the above: This is incorrect because Pareto analysis is the precise term for the described process.

1. Institute for Supply Management (ISM). (2015). ISM Glossary of Key Supply Management Terms (6th ed.). The glossary defines Pareto Analysis as: "A statistical analysis technique for prioritizing problem-solving or improvement efforts. It is based on the Pareto Principle

which states that a small number of causes is responsible for the great majority of the effect." (p. 101).

2. Montgomery

D. C. (2013). Introduction to Statistical Quality Control (7th ed.). John Wiley & Sons. This foundational academic text

often used in university engineering courses

describes the Pareto chart as a tool to separate the "vital few" from the "trivial many" problems

graphically displaying the principle that a few causes account for most of the effects (Chapter 5

Section 5.2.3).

3. MIT OpenCourseWare. (2004). 16.853/ESD.62J Advanced System Architecture

Lecture 6: Tradespace Exploration I. The course materials discuss using Pareto analysis and Pareto fronts to identify a small set of optimal designs from a large population of possibilities

illustrating the core principle of identifying the significant few. (URL: https://ocw.mit.edu/courses/16-853-advanced-system-architecture-fall-2004/pages/lecture-notes/

specifically lec6tradespace.pdf).