Which statement about High Maturity is true regarding statistical and quantitative analysis?

The statement that statistical and quantitative analysis is a foundational aspect of High Maturity is accurate. In the context of the Capability Maturity Model Integration (CMMI), High Maturity levels are characterized by organizations that leverage statistical data and quantitative analysis to make informed decisions, improve processes, and enhance performance.

At High Maturity, organizations utilize objective measurements derived from statistical concepts to identify trends, predict outcomes, and inform improvement initiatives. This rigorous approach to data analysis is essential because it enables organizations to move beyond intuition-based decision-making to a more evidence-based methodology. By effectively analyzing data, these organizations can substantiate their process improvements and demonstrate tangible business benefits, thereby aligning their practices with strategic objectives.

In contrast, the assertions related to the other options do not align with the principles of High Maturity. For instance, saying that it is not essential undermines the importance that statistical analysis plays in continuous process improvement at this level. Suggesting that it should be used selectively or that it is irrelevant to business outcomes also contradicts the core tenets of High Maturity, where comprehensive and systematic data analysis is critical to achieving sustained organizational success.