Question

question 5
1 pts
why are statistics important in six sigma?
they enable data - driven decisions and process improvements
they simplify project timelines
they increase project budgets
they eliminate the need for quality control

Explanation:

Statistics in Six Sigma help analyze data. Data - driven decisions (using statistical methods) are key. Six Sigma aims to improve processes. Statistical analysis of process - related data (like defect rates, process variability) allows identifying areas for improvement. Simplifying timelines (not a statistical role), increasing budgets (unrelated to stats in Six Sigma), and eliminating quality control (contradicts Six Sigma's focus on quality) are incorrect.

Answer:

They enable data - driven decisions and process improvements.