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  1. Box plot review (article) | Khan Academy

    The five-number summary is the minimum, first quartile, median, third quartile, and maximum. In a box plot, we draw a box from the first quartile to the third quartile. A vertical line goes through …

  2. Interpreting quartiles (practice) | Khan Academy

    The following box plot shows the number of aces Olga served during each tennis match. Olga served fewer than what number of aces during about 75 % of tennis matches?

  3. Box and whisker plot: how to construct (video) | Khan Academy

    The box and whiskers plot is summary of our data and often can be used to identify low and high outliers. For instance, to find a low outlier, we can use the equation: Q1 - 1.5 (Q3-Q1).

  4. Reading box plots (also called box and whisker plots) (video)

    A quartile is a number that, along with the median, splits the data into quarters, hence the term quartile. One quarter of the data is the 1st quartile or below.

  5. Interpreting box plots (video) | Khan Academy

    A box and whisker plot is a handy tool to understand the age distribution of students at a party. It helps us identify the minimum, maximum, median, and quartiles of the data.

  6. Worked example: Creating a box plot (odd number of data points)

    A box-and-whisker plot is a handy tool for visualizing data. By ordering numbers, we can find the range, median, and quartiles. Practice makes perfect when mastering these concepts!

  7. Worked example: Creating a box plot (even number of data points)

    Candlesticks resemble box plots, but their bodies reflect opening and closing prices, and their wicks show the true high and low prices for a time period. In box plots, the box represents …

  8. Reading box plots (practice) | Khan Academy

    Here's a box plot that summarizes the average monthly rainfall of several cities. Find the interquartile range (IQR) of the data.

  9. Creating box plots (practice) | Khan Academy

    Worked example: Creating a box plot (even number of data points) Constructing a box plot Creating box plots Reading box plots Reading box plots Interpreting box plots Interpreting …

  10. Identifying outliers with the 1.5xIQR rule - Khan Academy

    A commonly used rule says that a data point is an outlier if it is more than 1.5 ⋅ IQR above the third quartile or below the first quartile. Said differently, low outliers are below Q 1 1.5 ⋅ IQR …