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  2. Percentage - Wikipedia

    en.wikipedia.org/wiki/Percentage

    An increase of 100% in a quantity means that the final amount is 200% of the initial amount (100% of initial + 100% of increase = 200% of initial). In other words, the quantity has doubled. An increase of 800% means the final amount is 9 times the original (100% + 800% = 900% = 9 times as large).

  3. 68–95–99.7 rule - Wikipedia

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

    One can compute more precisely, approximating the number of extreme moves of a given magnitude or greater by a Poisson distribution, but simply, if one has multiple 4 standard deviation moves in a sample of size 1,000, one has strong reason to consider these outliers or question the assumed normality of the distribution.

  4. Brain stimulation reward - Wikipedia

    en.wikipedia.org/wiki/Brain_stimulation_reward

    The lowest current the animal responds sufficiently to is deemed the minimum effective current. This is done at a constant frequency, typically at the higher end of the frequency range employed in ICSS studies (140–160 Hz). [5] [6] Within-subject study design is often implemented to help eliminate variability introduced by electrode placement.

  5. Utilization rate - Wikipedia

    en.wikipedia.org/wiki/Utilization_rate

    With this method, however, it's easy to see how this utilization rate can be gamed: if a business stops recording non-billable time, its utilization rate will always be 100%. The second way to calculate the utilization rate is to take the number of billable hours and divide by a fixed number of hours per week. For example, if 32 hours of ...

  6. Percent sign - Wikipedia

    en.wikipedia.org/wiki/Percent_sign

    The percent sign % (sometimes per cent sign in British English) is the symbol used to indicate a percentage, a number or ratio as a fraction of 100. Related signs include the permille (per thousand) sign ‰ and the permyriad (per ten thousand) sign ‱ (also known as a basis point), which indicate that a number is divided by one thousand or ten thousand, respectively.

  7. Power (statistics) - Wikipedia

    en.wikipedia.org/wiki/Power_(statistics)

    If a large number of underpowered studies are done and statistically significant results published, published findings are more likely false positives than true results, contributing to a replication crisis. However, excessive demands for power could be connected to wasted resources and ethical problems, for example the use of a large number of ...

  8. Infinite monkey theorem - Wikipedia

    en.wikipedia.org/wiki/Infinite_monkey_theorem

    The probability that 100 randomly typed keys will consist of the first 99 digits of pi (including the separator key), or any other particular sequence of that length, is much lower: (1/90) 100. If the monkey's allotted length of text is infinite, the chance of typing only the digit of pi is 0, which is just as possible (mathematically probable ...

  9. Failure rate - Wikipedia

    en.wikipedia.org/wiki/Failure_rate

    The Failures In Time (FIT) rate of a device is the number of failures that can be expected in one billion (10 9) device-hours of operation [17] (e.g. 1,000 devices for 1,000,000 hours, or 1,000,000 devices for 1,000 hours each, or some other combination).