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  2. SMPTE color bars - Wikipedia

    en.wikipedia.org/wiki/SMPTE_color_bars

    An extended version of SMPTE Color Bars signal, developed by the Japanese Association of Radio Industries and Businesses as ARIB STD-B28 and standardized as SMPTE RP 219:2002 [15] (High-Definition, Standard-Definition Compatible Color Bar Signal) was introduced to test HDTV signal with an aspect ratio of 16:9 that can be down converted to a ...

  3. 68–95–99.7 rule - Wikipedia

    en.wikipedia.org/wiki/68–95–99.7_rule

    In statistics, the 68–95–99.7 rule, also known as the empirical rule, and sometimes abbreviated 3sr, is a shorthand used to remember the percentage of values that lie within an interval estimate in a normal distribution: approximately 68%, 95%, and 99.7% of the values lie within one, two, and three standard deviations of the mean, respectively.

  4. Alcohol proof - Wikipedia

    en.wikipedia.org/wiki/Alcohol_proof

    Thus pure 100% alcohol will have 100×(7 ⁄ 4) = 175 proof, and a spirit containing 40% ABV will have 40×(7 ⁄ 4) = 70 proof. The proof system in the United States was established around 1848 and was based on percent alcohol rather than specific gravity. Fifty percent alcohol by volume was defined as 100 proof. [4]

  5. Dark energy - Wikipedia

    en.wikipedia.org/wiki/Dark_energy

    The density of dark matter in an expanding universe decreases more quickly than dark energy, and eventually the dark energy dominates. Specifically, when the volume of the universe doubles, the density of dark matter is halved, but the density of dark energy is nearly unchanged (it is exactly constant in the case of a cosmological constant).

  6. Normal distribution - Wikipedia

    en.wikipedia.org/wiki/Normal_distribution

    About 68% of values drawn from a normal distribution are within one standard deviation σ from the mean; about 95% of the values lie within two standard deviations; and about 99.7% are within three standard deviations. [8] This fact is known as the 68–95–99.7 (empirical) rule, or the 3-sigma rule.

  7. p-value - Wikipedia

    en.wikipedia.org/wiki/P-value

    In null-hypothesis significance testing, the p-value [note 1] is the probability of obtaining test results at least as extreme as the result actually observed, under the assumption that the null hypothesis is correct.