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(200% for the first

**formula**and 100% for the second**formula**). Provided the data are strictly positive, a better measure of relative accuracy can be obtained based on the log of the accuracy ratio: log( F t / A t ) This measure is easier to analyse statistically, and has valuable symmetry and unbiasedness properties.In baseball statistics,

**slugging percentage**(SLG) is a measure of the batting productivity of a hitter.It is calculated as total bases divided by at bats, through the following**formula**, where AB is the number of at bats for a given player, and 1B, 2B, 3B, and HR are the number of singles, doubles, triples, and home runs, respectively:For a confidence level, there is a corresponding confidence interval about the mean , that is, the interval [, +] within which values of should fall with probability . ...

History. The statistic was invented in the late 1940s by Brooklyn Dodgers statistician Allan Roth with then-Dodgers general manager Branch Rickey. In 1954, Rickey, who was then the general manager of the Pittsburgh Pirates, was featured in a Life Magazine graphic in which the

**formula**for**on-base percentage**was shown as the first component of an all-encompassing "offense" equation.In males, mean

**percentage**body fat ranged from 23% at age 16–19 years to 31% at age 60–79 years. In females, mean**percentage**body fat ranged from 32% at age 8–11 years to 42% at age 60–79 years. But it is important to recognise that women need at least 9% more body fat than men to live a normal healthy life.Despite its simple calculation, OPS is a controversial measurement. OPS weighs on-base

**percentage**and slugging**percentage**equally. However, on-base**percentage**correlates better with scoring runs. Statistics such as wOBA build on this distinction using linear weights. Additionally, the components of OPS are not typically equal (league-average ...**Percentage**change. A**percentage**change is a way to express a change in a variable. It represents the relative change between the old value and the new one. For example, if a house is worth $100,000 today and the year after its value goes up to $110,000, the**percentage**change of its value can be expressed as**Formula**. The RMSD of an estimator ^ with respect to an estimated parameter is defined as the square root of the mean square**error**: (^) = (^) = ((^)). For an unbiased estimator, the RMSD is the square root of the variance, known as the standard deviation.