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1 zm 2 10 −36: 1 square attometre (am 2) 1 am 2 10 −30: 1 square femtometre (fm 2) 1 fm 2 10 −29 66.52 fm 2: Thomson cross-section of the electron [4] 10 −28 100 fm 2: 1 barn, roughly the cross-sectional area of a uranium nucleus [5] 10 −24: 1 square picometre (pm 2) 1 pm 2 10 −20: 1 square angstrom (Å 2) 10,000 pm 2 10 −19: ...
For a number written in scientific notation, this logarithmic rounding scale requires rounding up to the next power of ten when the multiplier is greater than the square root of ten (about 3.162). For example, the nearest order of magnitude for 1.7 × 10 8 is 8, whereas the nearest order of magnitude for 3.7 × 10 8 is 9.
To help compare different orders of magnitude, this section lists some items with lengths between 10 −6 and 10 −5 m (between 1 and 10 micrometers, or μm). ~0.7–300 μm – wavelength of infrared radiation; 1 μm – the side of a square of area 10 −12 m 2; 1 μm – edge of cube of volume 10 −18 m 3 (1 fL)
In statistics, expected mean squares (EMS) are the expected values of certain statistics arising in partitions of sums of squares in the analysis of variance (ANOVA). They can be used for ascertaining which statistic should appear in the denominator in an F-test for testing a null hypothesis that a particular effect is absent.
newton meter squared per kilogram squared (N⋅m 2 /kg 2) shear modulus: pascal (Pa) or newton per square meter (N/m 2) gluon field strength tensor: inverse length squared (1/m 2) acceleration due to gravity: meters per second squared (m/s 2), or equivalently, newtons per kilogram (N/kg) magnetic field strength
For example, 1 kilometre is 10 3 (one thousand) times the length of 1 metre, but 1 square kilometre is (10 3) 2 (10 6, one million) times the area of 1 square metre, and 1 cubic kilometre is (10 3) 3 (10 9, one billion) cubic metres.
Ordinary least squares regression of Okun's law.Since the regression line does not miss any of the points by very much, the R 2 of the regression is relatively high.. In statistics, the coefficient of determination, denoted R 2 or r 2 and pronounced "R squared", is the proportion of the variation in the dependent variable that is predictable from the independent variable(s).
1 square mil is equal to: 1 millionth of a square inch (1 square inch is equal to 1 million square mils) 6.4516 × 10 −10 square metres; about 1.273 circular mils (1 circular mil is equal to about 0.7854 square mils). 1.273 ≈ 4 / π and 0.7854 ≈ π / 4 .