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CSSGB · Question #134

A pictorial diagram showing possible causes (process inputs) for a given effect (process outputs). It is also referred to as the "Ishikawa diagram" or "fishbone diagram."

The correct answer is B. Cause and Effect Diagram. Cause and Effect Diagram (B) is correct because it is precisely defined as a pictorial tool that maps potential causes (inputs) to a specific effect (output), and is universally known by its two alternate names: the Ishikawa diagram (after its creator Kaoru Ishikawa) and the fish

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Question

A pictorial diagram showing possible causes (process inputs) for a given effect (process outputs). It is also referred to as the "Ishikawa diagram" or "fishbone diagram."

Options

  • AStandard Deviation
  • BCause and Effect Diagram
  • CRandom Experiment
  • DScatter Diagram

How the community answered

(65 responses)
  • A
    3% (2)
  • B
    89% (58)
  • C
    6% (4)
  • D
    2% (1)

Explanation

Cause and Effect Diagram (B) is correct because it is precisely defined as a pictorial tool that maps potential causes (inputs) to a specific effect (output), and is universally known by its two alternate names: the Ishikawa diagram (after its creator Kaoru Ishikawa) and the fishbone diagram (due to its resemblance to a fish skeleton).

  • A (Standard Deviation) is wrong - it's a statistical measure of data spread/variability, not a diagram of any kind.
  • C (Random Experiment) is wrong - it refers to a probability concept where outcomes are uncertain, with no visual or cause-mapping component.
  • D (Scatter Diagram) is wrong - it plots two variables against each other to reveal correlations, not causes and effects in a structured branching format.

Memory tip: Think "fishBONE = BONE structure = causes branching off a spine toward an effect." The three names all describe the same tool - Ishikawa (inventor), fishbone (shape), and cause-and-effect (function) - so if you see any of the three on an exam, they all point to answer B.

Topics

#cause and effect diagram#Ishikawa#fishbone diagram#root cause analysis

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