Normal distribution, also known as Gaussian distribution, is a fundamental concept in Six Sigma and statistics. It describes a symmetrical, bell-shaped curve where most data points cluster around the mean, with frequencies tapering off as they move away. Key properties include the mean, median, and mode being equal, and approximately 68% of data falling within one standard deviation of the mean, 95% within two, and 99.7% within three. Normal distribution is crucial for various statistical analyses and quality control, helping identify variations, predict outcomes, and make informed decisions to improve processes and product quality.
#nilakantasrinivasan-j #Lean-six-sigma #six-sigma #six-sigma-certification-course #normal-distribution #tools-of-six-sigma
