Basic Statistical Measures

This entry is part 1 of 3 in the series CSSYB

Summary of Basic Statistical Measures Measure Formula Example Mean $$\bar{x} = \frac{\sum x_i}{n}$$ For values 2, 3, 4, mean = (2+3+4)/3 = 3 Median (Odd) Middle value in ordered set For values 1, 3, 5, median = 3 Median (Even) Average of two middle values For values 1, 2, 3, 4, median = (2+3)/2 = […]

Purpose of Six Sigma

This entry is part 2 of 3 in the series CSSYB

Purpose of Six SigmaAspectDescriptionImprove QualityFocuses on reducing defects and variability in processes, leading to higher quality products and services.Increase EfficiencyStreamlines processes to make them more efficient, reducing time and resource wastage.Enhance Customer SatisfactionAims to meet or exceed customer expectations, leading to increased customer loyalty and market share.Reduce CostsIdentifies and eliminates causes of defects and waste, […]

History of Six Sigma

This entry is part 3 of 3 in the series CSSYB

Brief History of Six SigmaYearEvent1920sInvention of control charts by Walter A. Shewhart, laying the groundwork for statistical quality control methods.1986Development of Six Sigma at Motorola by engineer Bill Smith, aimed at improving manufacturing processes and quality by identifying and removing the causes of defects.1995Jack Welch, then CEO of General Electric, adopted Six Sigma and integrated […]