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4 bits – (a.k.a. tetrad(e), nibble, quadbit, semioctet, or halfbyte) the size of a hexadecimal digit; decimal digits in binary-coded decimal form 5 bits – the size of code points in the Baudot code, used in telex communication (a.k.a. pentad) 6 bits – the size of code points in Univac Fieldata, in IBM "BCD" format, and in Braille. Enough ...
Computing: 9.999 999 × 10 96 is equal to the largest value that can be represented in the IEEE decimal32 floating-point format. Computing: 69! (roughly 1.7112245 × 10 98), is the largest factorial value that can be represented on a calculator with two digits for powers of ten without overflow.
Height of the Salto Angel, the world's highest free-falling waterfall 10 3: 1 kilometer 2.3 km Length of the Three Gorges Dam, the largest dam in the world [34] [35] 3.1 km Narrowest width of the Strait of Messina, separating Italy and Sicily: 8.848 km Height of Mount Everest, the highest mountain on Earth 10 4: 10 km: 10.9 km
The different decimal numeral systems of the world use a larger base to better envision the size of the number, and have created names for the powers of this larger base. The table shows what number the order of magnitude aim at for base 10 and for base 1 000 000 .
Power of ten Engineering notation [citation needed]Short scale (U.S. and modern British) Long scale (continental Europe, archaic British, and India) SI prefix SI symbol
smallest positive subnormal number 0 00000 1111111111: 03ff: 2 −14 × (0 + 1023 / 1024 ) ≈ 0.000060975552: largest subnormal number 0 00001 0000000000: 0400: 2 −14 × (1 + 0 / 1024 ) ≈ 0.00006103515625: smallest positive normal number 0 01101 0101010101: 3555: 2 −2 × (1 + 341 / 1024 ) ≈ 0.33325195: nearest ...
An overview of ranges of mass. To help compare different orders of magnitude, the following lists describe various mass levels between 10 −67 kg and 10 52 kg. The least massive thing listed here is a graviton, and the most massive thing is the observable universe.
Here the 'IEEE 754 double value' resulting of the 15 bit figure is 3.330560653658221E-15, which is rounded by Excel for the 'user interface' to 15 digits 3.33056065365822E-15, and then displayed with 30 decimals digits gets one 'fake zero' added, thus the 'binary' and 'decimal' values in the sample are identical only in display, the values ...