Skewness and dispersion: The box plats are not parametric.No Assumptions: These display the variations in samples without making any kind of assumptions on the statistical distributions.Easy to use: It is a convenient way to depict the numerical data groups in a graphical manner, especially with the help of quartiles.Given below are some of the main features and advantages: Step 5: Draw a 5-number summary: Draw plot lines and mark the Lowest, Highest points, Median, and quartiles. Step 4: Find the 3 rd Quartile: find the median of the upper half of the data set Step 3: Find 1 st Quartile: find the median of the lowest half of the data set Draw plot lines: Now, you will need to draw plot lines and mark the Median and quartiles.Įxample: Draw a Box plot for the following 15 pointsĢ3,28,44,72,66,54,89,91,26,24,59,74,81,36,77.Calculate 1 st and 3 rd quartiles: This can be found out by finding out the Median of each of the halves. And, if the data set has an even set of numbers, the 2 numbers in the middle would have to be added up and averaged. If the data set has an odd set of numbers, the Median would have an equal amount of numbers on both sides. And to find out the quartiles, compute the Medians of the 2 halves. This Median will divide the data into halves. Calculate Medians: Find out the Median of this data range.Organize this data: Order the data by sorting them numerically, in ascending or increasing order.Gather the data: Get the data for which you need to create plots.Now, coming to the creation of box and whisker plots, you will need to follow the points given below: All the box plots will definitely have whiskers.īox plots How to Make a Box and Whisker Plot? Some of the box and whisker plots make use of a cross-hatch that is placed on the whiskers.Some of the box plots also make use of an additional character to represent the mean of the sample data.The data which is not in between whiskers are to be plotted as outliers with dots, small circles, or stars.Extreme values: The vertical lines (whiskers) show max and min values.Skewness: By looking at a box plot you can tell if your data distribution is skewed if the line inside the box is not centered.Stock 1 typically has the least variation. Useful in visualizing most of the spread of variation.1 st Quartile and 3 rd Quartile: The lower end of the box is the 1st quartile, and the upper end is the 3rd quartile.
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