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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. Plot (graphics) - Wikipedia

    en.wikipedia.org/wiki/Plot_(graphics)

    Box plot : In descriptive statistics, a boxplot, also known as a box-and-whisker diagram or plot, is a convenient way of graphically depicting groups of numerical data through their five-number summaries (the smallest observation, lower quartile (Q1), median (Q2), upper quartile (Q3), and largest observation). A boxplot may also indicate which ...

  4. Data and information visualization - Wikipedia

    en.wikipedia.org/wiki/Data_and_information...

    Box plots are non-parametric: they display variation in samples of a statistical population without making any assumptions of the underlying statistical distribution, thus are useful for getting an initial understanding of a data set. For example, comparing the distribution of ages between a group of people (e.g., male and females).

  5. Quartile - Wikipedia

    en.wikipedia.org/wiki/Quartile

    The fences are sometimes also referred to as "whiskers" while the entire plot visual is called a "box-and-whisker" plot. When spotting an outlier in the data set by calculating the interquartile ranges and boxplot features, it might be easy to mistakenly view it as evidence that the population is non-normal or that the sample is contaminated.

  6. Five-number summary - Wikipedia

    en.wikipedia.org/wiki/Five-number_summary

    It is possible to quickly compare several sets of observations by comparing their five-number summaries, which can be represented graphically using a boxplot. In addition to the points themselves, many L-estimators can be computed from the five-number summary, including interquartile range, midhinge, range, mid-range, and trimean.

  7. Box–Jenkins method - Wikipedia

    en.wikipedia.org/wiki/Box–Jenkins_method

    The original model uses an iterative three-stage modeling approach: Model identification and model selection: making sure that the variables are stationary, identifying seasonality in the dependent series (seasonally differencing it if necessary), and using plots of the autocorrelation (ACF) and partial autocorrelation (PACF) functions of the dependent time series to decide which (if any ...

  8. Do You Dot Plot? Understanding the Next Fed Forecast - AOL

    www.aol.com/news/dot-plot-understanding-next-fed...

    Understanding the Next Fed Forecast. Do You Dot Plot? Understanding the Next Fed Forecast. Skip to main content. News. Search. Need help? Call us! 800-290-4726. Login / Join. Mail ...

  9. Probability density function - Wikipedia

    en.wikipedia.org/wiki/Probability_density_function

    Box plot and probability density function of a normal distribution N(0, σ 2). Geometric visualisation of the mode, median and mean of an arbitrary unimodal probability density function.