The shape of normal curve depends upon :
Standard Deviation
A normal distribution is completely defined by two parameters: the mean (μ), which fixes the position of its centre, and the standard deviation (σ), which fixes its spread.
A small standard deviation gives a tall, narrow (leptokurtic-looking) curve, while a large standard deviation gives a low, flat, wide curve; the total area always remains 1. So the shape depends on the standard deviation.
Mean deviation and quartile deviation are other measures of dispersion that do not appear as parameters in the normal curve equation, and ‘QI’ is not a parameter of the curve.
Hence, the answer is Standard Deviation.
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