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  2. Dixon's Q test - Wikipedia

    en.wikipedia.org/wiki/Dixon's_Q_test

    However, at 95% confidence, Q = 0.455 < 0.466 = Q table 0.167 is not considered an outlier. McBane [ 1 ] notes: Dixon provided related tests intended to search for more than one outlier, but they are much less frequently used than the r 10 or Q version that is intended to eliminate a single outlier.

  3. q-value (statistics) - Wikipedia

    en.wikipedia.org/wiki/Q-value_(statistics)

    The q-value can be interpreted as the false discovery rate (FDR): the proportion of false positives among all positive results. Given a set of test statistics and their associated q-values, rejecting the null hypothesis for all tests whose q-value is less than or equal to some threshold ensures that the expected value of the false discovery rate is .

  4. Soft error - Wikipedia

    en.wikipedia.org/wiki/Soft_error

    A higher Q crit means fewer soft errors. Unfortunately, a higher Q crit also means a slower logic gate and a higher power dissipation. Reduction in chip feature size and supply voltage, desirable for many reasons, decreases Q crit. Thus, the importance of soft errors increases as chip technology advances.

  5. Q factor - Wikipedia

    en.wikipedia.org/wiki/Q_factor

    The Q factor is a parameter that describes the resonance behavior of an underdamped harmonic oscillator (resonator). Sinusoidally driven resonators having higher Q factors resonate with greater amplitudes (at the resonant frequency) but have a smaller range of frequencies around that frequency for which they resonate; the range of frequencies for which the oscillator resonates is called the ...

  6. Tukey's range test - Wikipedia

    en.wikipedia.org/wiki/Tukey's_range_test

    The value q s is the sample's test statistic. (The notation | x | means the absolute value of x; the magnitude of x with the sign set to +, regardless of the original sign of x.) This q s test statistic can then be compared to a q value for the chosen significance level α from a table of the studentized range distribution.

  7. Studentized range distribution - Wikipedia

    en.wikipedia.org/wiki/Studentized_range_distribution

    Critical values of the studentized range distribution are used in Tukey's range test. [3]The studentized range is used to calculate significance levels for results obtained by data mining, where one selectively seeks extreme differences in sample data, rather than only sampling randomly.

  8. Dynatrace (DT) Q3 2025 Earnings Call Transcript - AOL

    www.aol.com/finance/dynatrace-dt-q3-2025...

    Gross retention rate remained in the mid-90s, demonstrating the strategic relevance of the Dynatrace platform as it remains a mission-critical part of our customers' operations. Net retention rate ...

  9. Q-statistic - Wikipedia

    en.wikipedia.org/wiki/Q-statistic

    The Q-statistic or q-statistic is a test statistic: . The Box-Pierce test outputs a Q-statistic (uppercase) which follows the chi-squared distribution . The Ljung-Box test is a modified version of the Box-Pierce test which provides better small sample properties