Parts of a box plot

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In descriptive statistics, a box plot or boxplot is a convenient way of graphically depicting. The spacings between the different parts of the box indicate the degree of dispersion (spread) and s. The box plot (a.k.a. box and whisker diagram) is a standardized way of displaying the distribution of data based on the five number summary: minimum, first . Is this some kind of cute cat video? No! Box and whisker plots seek to explain data by showing a spread of all the data points in a sample. The "whiskers" are the . The median (middle quartile) marks the mid-point of the data and is shown by the line that divides the box into two parts. Half the scores are greater than or . How to interpret boxplots (aka, box and whisker plots). How to to display quantitative data with boxplots. Key points illustrated by examples. Plus free video.Statistics assumes that your data points (the numbers in your list) are clustered around some central value. The "box" in the box-and-whisker plot contains, and . In this section, we present another important graph called a box plot. Box plots are useful for identifying outliers and for comparing distributions. We will explain  . A boxplot is a graphical summary of the distribution of a sample that shows its shape, central tendency, and variability. Parts of a boxplot. A: outlier . A median divides a data set into two equal parts. The set can be subdivide further into four equal parts, by values called quartiles. The quartiles divide the data .

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