Why is the standard normal curve so useful? Why do we use the standard normal curve to find percentiles instead of the normal curve of the original data?
Standard normal curve is useful because by standardization we can convert the raw measurements into Z scores. These Z scores can be in turn used to calculate percentiles. By standardizing we can apply central limit theorem for a large number of values.
A normal distribution can be used to find the area under the curve which actually represents the percentile value. To do so we standardize the normal distribution and caluculate the corresponding Z scores to find the value of area under the curve from a standard normal table. For this process a standard normal curve is always used because there are an infinite number of different normal distribution for which a table cannot be printed. Hence we have to always use the standard normal curve to find percentiles instead of the normal curve of the original data.
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