Case Study Of The Bell Curve

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Is it time to Bell the Curve ?

Most phenomena –natural and otherwise that you see around can be fitted to the bell curve what is statistically referred to as “normal distribution”. This is precisely the reason why the normal curve or the bell has been extensively used in business be it to predict process conformance using models like six sigma , compensation management or performance appraisals. Statistically the normal distribution is one of the easiest to interpret but research indicates that the bell curve may not be an accurate reflection of performance.

When Microsoft decided to revamp its system eliminating the usage of the bell curve in appraisals it raised a lot of eyebrows. But today more businesses are taking steps to eradicate or at least streamline the usage of the normally distributed performance appraisals system.

Is it time to “bell” the curve? I strongly believe it is and let me tell you why.

“ F” law of averages:

The normal distribution is abnormally dependent on the average and assumes that there is an equal distribution to either side of it. This creates scope for a minimal number of high and low performers which would roughly be around 20 % while 80 % of people would fall into the average category. Adding fuel to the fire a lot of businesses insist on a specific percentage for each of these …show more content…

Variables like height, weight or blood pressure , mechanical processes, lifespan of consumables and many more phenomena in everyday life can be fitted to a bell curve. But the extensive usage of the bell curve for mapping processes both in business and otherwise can be largely attributed to simplicity of usage than adaptation. The conversion of the normal into “forced” distribution is what questions its relevance in appraising performance. In doing so, managers are forced to appraise employees on preset criteria which in turn brings down employee

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