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In their book The Bell Curve (1994), Richard Herrnstein and Charles Murray argued that IQ is important for life success and that differences between racial groups in life success can be attributed in part to differences in IQ. They speculated that these differences might be genetic.
A bell curve is a graph depicting the normal distribution, which has a shape reminiscent of a bell. The top of the curve shows the mean, mode, and median of the data collected. Its standard deviation depicts the bell curve's relative width around the mean.
Its standard deviation depicts the bell curve's relative width around the mean. Bell curves (normal distributions) are used commonly in statistics, including in analyzing economic and financial data.
Bell curve: By using a statistical package or a spreadsheet program, you can quickly determine standard deviation and draw a curve of the population \u2013 called the bell curve.
In their book The Bell Curve (1994), Richard Herrnstein and Charles Murray argued that IQ is important for life success and that differences between racial groups in life success can be attributed in part to differences in IQ. They speculated that these differences might be genetic.
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Many textbooks refer to it as the Gaussian Curve, reflecting the fact that the brilliant 19th-Century German mathematician Karl Friedrich Gauss deduced the shape of the curve while studying how data are affected by random errors.
Unlike height and weight units, IQ is an indirect comparative measure. Thus the result is not perfect. Like height, weight, and other human variables, IQ may vary within a wide range. Most people would fall within the middle.
The width of a bell curve is determined by the standard deviation\u201468% of the data points are within one standard deviation of the mean, 95% of the data are within two standard deviations, and 99.7% of the data points are within three standard deviations of the mean.
A bell curve is a type of graph that is used to visualize the distribution of a set of chosen values across a specified group that tend to have a central, normal values, as peak with low and high extremes tapering off relatively symmetrically on either side.
The probabilities of the bell curve and the standard deviation share a few important relationships, including: Around 68% of the data lies within 1 standard deviation. Around 95% of the data lies within 2 standard deviations. Around 99.7% of the data lies within 3 standard deviations.

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