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[1] Typically, a class specifies accuracy at a number of points, with the absolute accuracy at lower values being better than the nominal "percentage of full scale" accuracy. Accuracy classes such as IEC's 0.15s are a 'special' high accuracy class. [2]
The centimetre (SI symbol: cm) is a unit of length in the metric system equal to 10 −2 metres ( 1 / 100 m = 0.01 m). To help compare different orders of magnitude, this section lists lengths between 10 −2 m and 10 −1 m (1 cm and 1 dm). 1 cm – 10 millimeters; 1 cm – 0.39 inches; 1 cm – edge of a square of area 1 cm 2
One barn is equal to 1.0 × 10 −28 m 2. The name derives from the folk expressions "As big as a barn," and "Couldn't hit the broad side of a barn", used by particle accelerator physicists to refer to the probability of achieving a collision between particles. For nuclear purposes, 1.0 × 10 −28 m 2 is actually rather large. [25]
5 × 10 ^ 1: Annual: 5.7: USA NRC/ Canada CNSC occupational limit for designated Nuclear Energy Workers [9] 100 1 × 10 ^ 2: 5 years: 2.3: Canada CNSC occupational limit over a 5-year dosimetry period for designated Nuclear Energy Workers [9] 100 1 × 10 ^ 2: Acute-USA EPA acute dose level estimated to increase cancer risk 0.8% [6] 120 1.2 × ...
Accuracy is also used as a statistical measure of how well a binary classification test correctly identifies or excludes a condition. That is, the accuracy is the proportion of correct predictions (both true positives and true negatives) among the total number of cases examined. [10] As such, it compares estimates of pre- and post-test probability.
The noise reduction coefficient (commonly abbreviated NRC) is a single number value ranging from 0.0 to 1.0 that describes the average sound absorption performance of a material. An NRC of 0.0 indicates the object does not attenuate mid-frequency sounds, but rather reflects sound energy.
Precision and recall. In statistical analysis of binary classification and information retrieval systems, the F-score or F-measure is a measure of predictive performance. It is calculated from the precision and recall of the test, where the precision is the number of true positive results divided by the number of all samples predicted to be positive, including those not identified correctly ...
Z tables use at least three different conventions: . Cumulative from mean gives a probability that a statistic is between 0 (mean) and Z.Example: Prob(0 ≤ Z ≤ 0.69) = 0.2549.