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The normal distribution is used to interpret children's scores on norm-referenced tests. For example, the mean Intelligence Quotient (IQ) is equal to 100
with a standard deviation of 15. An IQ of 115 is interpreted as one standard deviation above the mean. Approximately 68% of the area under the normal
curve is ±1 standard deviation from the mean; approximately 95% of the area under the normal curve is ±2 standard deviations from the mean; and
approximately 99.75% of the area under the normal curve is ±3 standard deviations from the mean. A z-score may also be used to standardize a score. A
z-score is calculated by subtracting the obtained score on a test from the mean score and dividing by the standard deviation. For example a z-score of –1
represents a score that is one standard deviation below the mean, a z-score of –2 represents a score two standard deviations below the mean. Positive zSource: Pediatrics, The Rehabilitation Specialist's Handbook, 4e
scores represent scores above the mean.
Citation: Roy SH, Wolf SL, Scalzitti DA. The Rehabilitation Specialist's Handbook, 4e; 2013 Available at: http://mhmedical.com/ Accessed: May
07, 2017
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