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Some investigators have proposed dosing based on surface area (S) instead of V, but clinicians usually measure the URR and then calculate Kt/V. One can "adjust" the Kt/V, to calculate a "surface-area-normalized" or "SAN"-Kt/V as well as a "SAN"-standard Kt/V. This puts a wrapper around Kt/V and normalizes it to body surface area. [8]
The Tinetti Test (TT), or Performance Oriented Mobility Assessment (POMA), is a common clinical test for assessing a person's static and dynamic balance abilities. [1] It is named after one of the inventors, Mary Tinetti .
After ensuring that the PAI addressed certain concepts in psychopathology, the developers proceeded to a second stage in the process. This stage involved the "empirical evaluation" of the items. The research team administered two versions of the test, first to a sample of college students and later to a normative sample.
It was published in Omni magazine, in April 1985, and the results were used to norm the test. Hoeflin standardized the test six times, using equipercentile equating with SAT and other scores, and some extrapolation at the highest level. [18]
The Mega Test yields IQ standard scores obtained by multiplying the subject's normalized z-score, or the rarity of the raw test score, by a constant standard deviation and adding the product to 100, with Savant's raw score reported by Hoeflin to be 46 out of a possible 48, with a 5.4 z-score, and a standard deviation of 16, arriving at a 186 IQ ...
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In many situations, the score statistic reduces to another commonly used statistic. [11] In linear regression, the Lagrange multiplier test can be expressed as a function of the F-test. [12] When the data follows a normal distribution, the score statistic is the same as the t statistic. [clarification needed]
The F-test in ANOVA is an example of an omnibus test, which tests the overall significance of the model. A significant F test means that among the tested means, at least two of the means are significantly different, but this result doesn't specify exactly which means are different one from the other.