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The absolute deviations about 2 are (1, 1, 0, 0, 2, 4, 7) which in turn have a median value of 1 (because the sorted absolute deviations are (0, 0, 1, 1, 2, 4, 7)). So the median absolute deviation for this data is 1.
The median of the first group is the lower or first quartile, and is equal to (0 + 1)/2 = 0.5. The median of the second group is the upper or third quartile, and is equal to (27 + 61)/2 = 44. The smallest and largest observations are 0 and 63. So the five-number summary would be 0, 0.5, 7.5, 44, 63.
Treatment squared deviations = 62 − 51.2 = 10.8 with 1 degree of freedom. Residual squared deviations = 66 − 62 = 4 with 3 degrees of freedom. Two-way analysis of variance
In mathematics and its applications, the mean square is normally defined as the arithmetic mean of the squares of a set of numbers or of a random variable. [ 1 ] It may also be defined as the arithmetic mean of the squares of the deviations between a set of numbers and a reference value (e.g., may be a mean or an assumed mean of the data), [ 2 ...
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: ...
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).
1000000 zeptometres = 1 femtometre = 1 fermi = 0.000001 nanometre = 10 −15 metres. 1 000 000 000 000 femtometres = 1 millimetre. For example, the charge radius of a proton is approximately 0.841 femtometres [3] while the radius of a gold nucleus is approximately 8.45 femtometres. [4] 1 barn = 100 fm 2
In statistics, data can have any of various types.Statistical data types include categorical (e.g. country), directional (angles or directions, e.g. wind measurements), count (a whole number of events), or real intervals (e.g. measures of temperature).