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  2. Hypergeometric distribution - Wikipedia

    en.wikipedia.org/wiki/Hypergeometric_distribution

    In probability theory and statistics, the hypergeometric distribution is a discrete probability distribution that describes the probability of successes (random draws for which the object drawn has a specified feature) in draws, without replacement, from a finite population of size that contains exactly objects with that feature, wherein each draw is either a success or a failure.

  3. Failure rate - Wikipedia

    en.wikipedia.org/wiki/Failure_rate

    Failure rate is the frequency with which any system or component fails, expressed in failures per unit of time. It thus depends on the system conditions, time interval, and total number of systems under study. [1]

  4. Mean time between failures - Wikipedia

    en.wikipedia.org/wiki/Mean_time_between_failures

    where B 10 is the number of operations that a device will operate prior to 10% of a sample of those devices would fail and n op is number of operations. B 10d is the same calculation, but where 10% of the sample would fail to danger. n op is the number of operations/cycle in one year. [11]

  5. WordStar - Wikipedia

    en.wikipedia.org/wiki/WordStar

    WordStar was the first microcomputer word processor to offer mail merge and textual WYSIWYG.Besides word-wrapping (still a notable feature for early microcomputer programs), this last was most noticeably implemented as on-screen pagination during the editing session.

  6. Gaussian function - Wikipedia

    en.wikipedia.org/wiki/Gaussian_function

    The peak is "well-sampled", so that less than 10% of the area or volume under the peak (area if a 1D Gaussian, volume if a 2D Gaussian) lies outside the measurement region. The width of the peak is much larger than the distance between sample locations (i.e. the detector pixels must be at least 5 times smaller than the Gaussian FWHM).