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A method analogous to piece-wise linear approximation but using only arithmetic instead of algebraic equations, uses the multiplication tables in reverse: the square root of a number between 1 and 100 is between 1 and 10, so if we know 25 is a perfect square (5 × 5), and 36 is a perfect square (6 × 6), then the square root of a number greater than or equal to 25 but less than 36, begins with ...
For an approximately normal data set, the values within one standard deviation of the mean account for about 68% of the set; while within two standard deviations account for about 95%; and within three standard deviations account for about 99.7%.
In set theory, ω is the ordinal number [20] A primitive root of unity, like the complex cube roots of 1; The Wright Omega function [21] A generic differential form; In number theory, ω(n) is the number of distinct prime divisors of n; In number theory, an arithmetic function; In combinatory logic, the self-application combinator, (λ x. x x)
A little algebra shows that the distance between P and M (which is the same as the orthogonal distance between P and the line L) (¯) is equal to the standard deviation of the vector (x 1, x 2, x 3), multiplied by the square root of the number of dimensions of the vector (3 in this case).
If all 1,000 take the test, 82 of those with the disease will get a true positive result (sensitivity of 90.1%), 9 of those with the disease will get a false negative result (false negative rate of 9.9%), 827 of those without the disease will get a true negative result (specificity of 91.0%), and 82 of those without the disease will get a false ...
The only known powers of 2 with all digits even are 2 1 = 2, 2 2 = 4, 2 3 = 8, 2 6 = 64 and 2 11 = 2048. [12] The first 3 powers of 2 with all but last digit odd is 2 4 = 16, 2 5 = 32 and 2 9 = 512. The next such power of 2 of form 2 n should have n of at least 6 digits.
1.79 ± 0.06 (correct), 1.79 ± 0.96 (correct), 1.79 ± 1.96 (incorrect). The digit positions of the last significant figures in x best and σ x are the same, otherwise the consistency is lost. For example, "1.79 ± 0.067" is incorrect, as it does not make sense to have more accurate uncertainty than the best estimate.
2–3 million 1–1.6% of Russian population [14] 1918–1922 Russia: 13 Cocoliztli epidemic of 1576: Cocoliztli 2–2.5 million 50% of Mexican population [12] 1576–1580 Mexico 14 1772–1773 Persian Plague: Bubonic plague 2 million – 1772–1773 Persia: 15 735–737 Japanese smallpox epidemic: Smallpox 2 million 33% of Japanese population ...