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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 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?

  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. 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.

  8. 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 …

  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 …