Friday, February 7, 2020

How To Draw A Box And Whisker Plot

A boxplot also called a box and whisker plot is a way to show the spread and centers of a data set. Next draw a number line with vertical lines at the first second and third quartiles and connect the endpoints of the vertical lines to make a box.






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Then we find the median of our data.




How to draw a box and whisker plot.

So let me draw a number line so my best attempt at a number line.
Make a box by drawing horizontal lines.
Simple box and whisker plot 1.




And now weve figured out all of the information we need to actually plot or actually create or actually draw our box and whisker plot.
So thats my number line.
Heres a word problem thats perfectly suited for a box and whiskers plot to help analyze data.




In a nutshell the box and whisker plot marks.
Next plot the least number in the data set.
For these types of plots often you must gather lots of information about the data.




The median divides the data into two halves.
In this data set the smallest is 7 and the largest is 65.
Lets construct one together shall we.




Additionally if you are drawing your box plot by hand you must think of scale.
On the insert tab in the charts group click the statistic chart symbol.
So 125 is exactly halfway between 11 and 14.




How to make a box and whisker plot steps gather your data.
To create a box and whisker plot we start by ordering our data that is putting the values in numerical order if they arent ordered already.
Halfway in between the two is 125.




Measures of spread include the interquartile range and the mean of the data set.
For example select the range a1a7.
Click box and whisker.




This video covers how to make a box and whisker plot with outliers.
Measures of center include the mean or average and median the middle of a data set.
So starting the scale at 5 and counting by 5 up to 65 or 70 would probably give a nice picture.




Find the median of the data set.
Find the first and third quartiles.
Organize the data from least to greatest.




To divide the data into quarters we then find the medians of these two halves.
Draw a plot line.
Mark your first second and third quartiles on the plot line.






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