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Get the free Box-and-Whisker Plots ( Read )StatisticsCK-12 Foundation

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Name Date Class LESSON112Comparing Data Displayed in Box Plots Reteach box plot separates a set of data into four equal parts. Use the data to create a box plot on the number line: 35, 24, 25, 38,
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How to fill out box-and-whisker plots read statisticsck-12

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How to fill out box-and-whisker plots read statisticsck-12

01
To fill out a box-and-whisker plot, follow these steps:
02
Determine the minimum and maximum values of the data set.
03
Find the median, which is the middle value of the data set when it is arranged in ascending order.
04
Calculate the lower quartile, which is the median of the lower half of the data set.
05
Calculate the upper quartile, which is the median of the upper half of the data set.
06
Draw a number line with the minimum value on the left and the maximum on the right.
07
Plot the median as a horizontal line within the number line.
08
Draw a box from the lower quartile to the upper quartile, using the median line as its horizontal side.
09
Add whiskers to the box by drawing vertical lines from the box to the minimum and maximum values.
10
Identify any outliers, which are values that fall outside the range of the whiskers, and plot them as separate points.
11
Label the plot with the necessary information, such as the title, axis labels, and scales.

Who needs box-and-whisker plots read statisticsck-12?

01
Box-and-whisker plots are useful for anyone studying or analyzing data sets. They can be particularly helpful in the field of statistics. Box-and-whisker plots provide a visual representation of the distribution of data, allowing for easy identification of key statistics such as the median, quartiles, and outliers. They are often used in data analysis, research, and presentations to effectively communicate the spread and central tendency of a data set.
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Box-and-whisker plots are a method of graphically representing the distribution of a dataset based on five summary statistics: minimum, first quartile, median, third quartile, and maximum. They help visualize data variability and identify outliers.
Typically, educators, researchers, or statisticians who need to present statistical data in a summarized format may be required to use box-and-whisker plots in their reports or presentations.
To fill out box-and-whisker plots, first organize your data in ascending order. Identify the minimum and maximum values, calculate the first quartile (Q1), median (Q2), and third quartile (Q3). Then, draw a number line, mark the quartiles, and create a box from Q1 to Q3 with a line at the median. Extend 'whiskers' to the minimum and maximum values.
The purpose of box-and-whisker plots is to provide a visual summary of the data's central tendency, dispersion, and to quickly identify any potential outliers in the dataset.
A box-and-whisker plot should report the minimum value, first quartile (Q1), median (Q2), third quartile (Q3), maximum value, and any outliers present in the data.
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