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Some slide rules, such as the K&E Deci-Lon in the photo, calibrate to be accurate for radian conversion, at 5.73 degrees (off by nearly 0.4% for the tangent and 0.2% for the sine for angles around 5 degrees). Others are calibrated to 5.725 degrees, to balance the sine and tangent errors at below 0.3%.
1. y 2 /y 1 > 1: depth increases over the jump so that y 2 > y 1 2. Fr 2 < 1: downstream flow must be subcritical 3. Fr 1 > 1: upstream flow must be supercritical. Table 2 shows the calculated values used to develop Figure 8. The values associated with a y 1 = 1.5 ft are not valid for use since they violate the above limits.
Archimedes of Syracuse [a] (/ ˌ ɑːr k ɪ ˈ m iː d iː z / AR-kim-EE-deez; [2] c. 287 – c. 212 BC) was an Ancient Greek mathematician, physicist, engineer, astronomer, and inventor from the ancient city of Syracuse in Sicily. [3] Although few details of his life are known, he is considered one of the leading scientists in classical antiquity.
Suppose East is known to have 7 spades from the bidding and after seeing dummy you deduce West to hold 2 spades; then if your two lines of play are to hope either for diamonds 5-3 or clubs 4-2, the a priori probabilities are 47% and 48% respectively but (,,,) % and (,,,) % so now the club line is significantly better than the diamond line.
In probability theory and statistics, the beta distribution is a family of continuous probability distributions defined on the interval [0, 1] or (0, 1) in terms of two positive parameters, denoted by alpha (α) and beta (β), that appear as exponents of the variable and its complement to 1, respectively, and control the shape of the distribution.
The first use of an equals sign, equivalent to 14x+15=71 in modern notation.From The Whetstone of Witte (1557) by Robert Recorde. Recorde's introduction of "=" Before the 16th century, there was no common symbol for equality, and equality was usually expressed with a word, such as aequales, aequantur, esgale, faciunt, ghelijck, or gleich, and sometimes by the abbreviated form aeq, or simply æ ...
The general form of its probability density function is [2] [3] = (). The parameter μ {\displaystyle \mu } is the mean or expectation of the distribution (and also its median and mode ), while the parameter σ 2 {\textstyle \sigma ^{2}} is the variance .
The Italian statistician Corrado Gini developed the Gini coefficient and published it in his 1912 paper Variabilità e mutabilità (English: variability and mutability). [16] [17] Building on the work of American economist Max Lorenz, Gini proposed using the difference between the hypothetical straight line depicting perfect equality and the actual line depicting people's incomes as a measure ...