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  2. Interquartile range - Wikipedia

    en.wikipedia.org/wiki/Interquartile_range

    However, a normal distribution can be trivially perturbed to maintain its Q1 and Q2 std. scores at 0.67 and −0.67 and not be normally distributed (so the above test would produce a false positive). A better test of normality, such as Q–Q plot would be indicated here.

  3. Quartile - Wikipedia

    en.wikipedia.org/wiki/Quartile

    Since quartiles divide the number of data points evenly, the range is generally not the same between adjacent quartiles (i.e. usually (Q 3 - Q 2) ≠ (Q 2 - Q 1)). Interquartile range (IQR) is defined as the difference between the 75th and 25th percentiles or Q 3 - Q 1 .

  4. Quantile - Wikipedia

    en.wikipedia.org/wiki/Quantile

    For any population probability distribution on finitely many values, and generally for any probability distribution with a mean and variance, it is the case that +, where Q(p) is the value of the p-quantile for 0 < p < 1 (or equivalently is the k-th q-quantile for p = k/q), where μ is the distribution's arithmetic mean, and where σ is the ...

  5. Five-number summary - Wikipedia

    en.wikipedia.org/wiki/Five-number_summary

    There are eight observations, so the median is the mean of the two middle numbers, (2 + 13)/2 = 7.5. Splitting the observations either side of the median gives two groups of four observations. The median of the first group is the lower or first quartile, and is equal to (0 + 1)/2 = 0.5.

  6. Box plot - Wikipedia

    en.wikipedia.org/wiki/Box_plot

    Figure 2. Box-plot with whiskers from minimum to maximum Figure 3. Same box-plot with whiskers drawn within the 1.5 IQR value. A boxplot is a standardized way of displaying the dataset based on the five-number summary: the minimum, the maximum, the sample median, and the first and third quartiles.

  7. Pseudorandom generator theorem - Wikipedia

    en.wikipedia.org/wiki/Pseudorandom_generator_theorem

    The idea of the proof is as follows: first s bits from uniform distribution U l are picked and used as the seed to the first instance of G l, which is known to be a pseudorandom generator. Next, the output of the first instance of G l is divided into two parts: first l bits are fed into the second instance of G l as a seed, while the last bit ...

  8. Gaussian q-distribution - Wikipedia

    en.wikipedia.org/wiki/Gaussian_q-distribution

    In mathematical physics and probability and statistics, the Gaussian q-distribution is a family of probability distributions that includes, as limiting cases, the uniform distribution and the normal (Gaussian) distribution. It was introduced by Diaz and Teruel. [clarification needed] It is a q-analog of the Gaussian or normal distribution.

  9. List of probability distributions - Wikipedia

    en.wikipedia.org/wiki/List_of_probability...

    The shifted Gompertz distribution; The type-2 Gumbel distribution; The Weibull distribution or Rosin Rammler distribution, of which the exponential distribution is a special case, is used to model the lifetime of technical devices and is used to describe the particle size distribution of particles generated by grinding, milling and crushing ...