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Stanine (STAndard NINE) is a method of scaling test scores on a nine-point standard scale with a mean of five and a standard deviation of two.. Some web sources attribute stanines to the U.S. Army Air Forces during World War II.
Bias in standard deviation for autocorrelated data. The figure shows the ratio of the estimated standard deviation to its known value (which can be calculated analytically for this digital filter), for several settings of α as a function of sample size n. Changing α alters the variance reduction ratio of the filter, which is known to be
Since the square root introduces bias, the terminology "uncorrected" and "corrected" is preferred for the standard deviation estimators: s n is the uncorrected sample standard deviation (i.e., without Bessel's correction) s is the corrected sample standard deviation (i.e., with Bessel's correction), which is less biased, but still biased
Many large-scale clinical tests are normed. For example, scores on the MMPI are rescaled such that 50 is the middlemost score on the MMPI Depression scale and 60 is a score that places the individual one standard deviation above the mean for depressive symptoms; 40 represents a symptom level that is one standard deviation below the mean. [30]
At one point in time, the “A*” grade in the GCSE did not exist but was later added to recognise the very top end of achievement. In the case of Further Mathematics, an extra A* grade was added for students that can “demonstrate sustained performance in higher-level maths skills such as reasoning, proof and problem-solving.” [14]
The g factor [a] is a construct developed in psychometric investigations of cognitive abilities and human intelligence.It is a variable that summarizes positive correlations among different cognitive tasks, reflecting the assertion that an individual's performance on one type of cognitive task tends to be comparable to that person's performance on other kinds of cognitive tasks.
Thus standard deviation about the mean is lower than standard deviation about any other point, and the maximum deviation about the midrange is lower than the maximum deviation about any other point. The 1-norm is not strictly convex, whereas strict convexity is needed to ensure uniqueness of the minimizer. Correspondingly, the median (in this ...
It is the mean divided by the standard deviation of a difference between two random values each from one of two groups. It was initially proposed for quality control [ 1 ] and hit selection [ 2 ] in high-throughput screening (HTS) and has become a statistical parameter measuring effect sizes for the comparison of any two groups with random values.