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  2. 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.

  3. Interquartile range - Wikipedia

    en.wikipedia.org/wiki/Interquartile_range

    The IQR is used to build box plots, simple graphical representations of a probability distribution. The IQR is used in businesses as a marker for their income rates. For a symmetric distribution (where the median equals the midhinge , the average of the first and third quartiles), half the IQR equals the median absolute deviation (MAD).

  4. Quartile - Wikipedia

    en.wikipedia.org/wiki/Quartile

    Interquartile range (IQR) is defined as the difference between the 75th and 25th percentiles or Q 3 - Q 1. While the maximum and minimum also show the spread of the data, the upper and lower quartiles can provide more detailed information on the location of specific data points, the presence of outliers in the data, and the difference in spread ...

  5. Functional boxplot - Wikipedia

    en.wikipedia.org/wiki/Functional_boxplot

    In statistical graphics, the functional boxplot is an informative exploratory tool that has been proposed for visualizing functional data. [1] [2] Analogous to the classical boxplot, the descriptive statistics of a functional boxplot are: the envelope of the 50% central region, the median curve and the maximum non-outlying envelope.

  6. Quantile - Wikipedia

    en.wikipedia.org/wiki/Quantile

    Mathematica, [3] Matlab, [4] R [5] and GNU Octave [6] programming languages support all nine sample quantile methods. SAS includes five sample quantile methods, SciPy [7] and Maple [8] both include eight, EViews [9] and Julia [10] include the six piecewise linear functions, Stata [11] includes two, Python [12] includes two, and Microsoft Excel ...

  7. Error bar - Wikipedia

    en.wikipedia.org/wiki/Error_bar

    This statistics -related article is a stub. You can help Wikipedia by expanding it.

  8. Box–Jenkins method - Wikipedia

    en.wikipedia.org/wiki/Box–Jenkins_method

    The sample autocorrelation plot and the sample partial autocorrelation plot are compared to the theoretical behavior of these plots when the order is known. Specifically, for an AR(1) process, the sample autocorrelation function should have an exponentially decreasing appearance. However, higher-order AR processes are often a mixture of ...

  9. Partial autocorrelation function - Wikipedia

    en.wikipedia.org/wiki/Partial_autocorrelation...

    Plotting the partial autocorrelation function and drawing the lines of the confidence interval is a common way to analyze the order of an AR model. To evaluate the order, one examines the plot to find the lag after which the partial autocorrelations are all within the confidence interval. This lag is determined to likely be the AR model's order ...