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NAME DATE PERIOD Lesson 3 Reteach Box Plots A box plot is a diagram that is constructed using the median, quartiles, and extreme values. A box is drawn around the quartile values, and the whiskers
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How to fill out a box plot is

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To fill out a box plot, follow these steps:
02
Collect the dataset that you want to represent using a box plot.
03
Determine the minimum, first quartile, median, third quartile, and maximum values of the dataset.
04
Draw a number line and label it with the minimum and maximum values.
05
Draw a box from the first quartile to the third quartile, with a line inside it representing the median.
06
Calculate the interquartile range (third quartile minus first quartile) and draw lines, called whiskers, extending from the box to the minimum and maximum values.
07
Identify any outliers, which are values that fall outside of the whiskers, and mark them separately on the plot if necessary.
08
Add a title, labels, and any additional information to the box plot as needed.
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Review and interpret the box plot to gain insights about the distribution, spread, and skewness of the dataset.

Who needs a box plot is?

01
Box plots are useful for anyone who needs to visually analyze and understand the distribution of a dataset.
02
Specifically, box plots are commonly used in statistics, data analysis, and research fields to summarize and compare data sets.
03
Individuals involved in data visualization, quality control, educational assessment, or business decision-making can benefit from using box plots.
04
Researchers, analysts, and scientists often utilize box plots to identify outliers, compare groups, examine variability, and detect patterns.
05
Box plots are also valuable in identifying skewed distributions, displaying quartiles, and showcasing the spread of measurement values.
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Anyone who wants to explore the variability, central tendency, and overall shape of data can utilize box plots as a visual tool.
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A box plot, also known as a box and whisker plot, is a graphical representation of numerical data through quartiles. It displays the distribution of the data based on its minimum, first quartile, median, third quartile, and maximum.
A box plot is typically created and filed by statisticians, researchers, data analysts, and anyone looking to visually represent the distribution of numerical data.
To fill out a box plot, the data set must be organized and separated into quartiles. Then, the box plot can be drawn using the minimum, first quartile, median, third quartile, and maximum values.
The purpose of a box plot is to show the distribution, range, and center of a data set visually. It helps in identifying outliers and comparing different data sets.
A box plot must report the minimum value, first quartile, median, third quartile, and maximum value of the data set.
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