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The Bell Curve: Intelligence and Class Structure in American Life is a 1994 book by the psychologist Richard J. Herrnstein and the political scientist Charles Murray in which the authors argue that human intelligence is substantially influenced by both inherited and environmental factors and that it is a better predictor of many personal outcomes, including financial income, job performance ...
The term "curve" refers to the bell curve, the graphical representation of the probability density of the normal distribution, but this method can be used to achieve any desired distribution of the grades – for example, a uniform distribution.
IQ scores can differ to some degree for the same person on different IQ tests, so a person does not always belong to the same IQ score range each time the person is tested (IQ score table data and pupil pseudonyms adapted from description of KABC-II norming study cited in Kaufman 2009).
Rogers ' bell curve. The technology adoption lifecycle is a sociological model that describes the adoption or acceptance of a new product or innovation, according to the demographic and psychological characteristics of defined adopter groups. The process of adoption over time is typically illustrated as a classical normal distribution or
An intelligence quotient (IQ) is a total score derived from a set of standardized tests or subtests designed to assess human intelligence. [1] Originally, IQ was a score obtained by dividing a person's mental age score, obtained by administering an intelligence test, by the person's chronological age, both expressed in terms of years and months.
The term was coined by Richard Herrnstein and Charles Murray in their 1994 book The Bell Curve. [13] [14] [15] Flynn stated that, if asked, he would have named the effect after Read D. Tuddenham [16] who "was the first to present convincing evidence of massive gains on mental tests using a nationwide sample" [17] in a 1948 article. [18]
A plot of normal distribution (or bell-shaped curve) where each band has a width of 1 standard deviation. If the threshold is 2 standard deviations above the mean of the latent variable, then about 2.4% of the population would have the trait.
An informal approach to testing normality is to compare a histogram of the sample data to a normal probability curve. The empirical distribution of the data (the histogram) should be bell-shaped and resemble the normal distribution. This might be difficult to see if the sample is small.