The Bell Curve

A bell curve, or normal distribution, is a symmetrical, bell-shaped graph showing how data points distribute around a mean. In psychology, it's fundamental for understanding human traits like intelligence. The curve peaks at the center and tapers symmetrically on both sides, with the tails never touching the X-axis, representing that extreme values remain possible though rare.

Standard deviation measures how much scores deviate from the mean. In intelligence testing, the mean is 100 and each standard deviation equals 15 points. A score of 85 is one SD below the mean, while 115 is one SD above. Approximately 68% of the population scores within one SD, ranging from 85 to 115, representing average intelligence.

Approximately 68% of the population scores within one standard deviation of the mean on intelligence tests, ranging from 85 to 115. These scores are considered average intelligence. The remaining population is distributed across higher and lower ranges, with only about 2.2% scoring more than two SDs above or below the mean on each side.

Scores of 130 or higher fall more than two standard deviations above the mean, representing approximately 2.2% of the population. These scores indicate superior intelligence. This symmetrical distribution of intelligence scores provides a statistical framework for understanding variations in cognitive ability within a population.

A score of 70 or lower falls more than two standard deviations below the mean, occurring in approximately 2.2% of the population. Such scores may indicate an intellectual disability. This represents the lower extreme of the normal distribution, where rare but possible cognitive variations exist.

The bell curve is mathematically defined and continuous, tapering symmetrically toward the extremes but never touching the X-axis. This represents that extreme values, though increasingly rare as they deviate from the mean, remain theoretically possible. The curve reflects the reality that no human trait has absolute boundaries.

Many human traits naturally follow the bell curve distribution because most individuals cluster near the average, with fewer people at the extremes. For example, if you measured heights in a large population, most would fall within an average range, while fewer would represent very tall or very short individuals, creating the characteristic symmetrical bell shape.