To start, you need to identify the median of your set of data. After you have the median, split the remaining data into 2 groups, one with everything smaller than the median, one with everything larger. You then take the median of the 2 groups you just found in the previous step, the smaller one is called the first quartile and the larger one is called the 3rd quartile. Next, you have to find the smallest and largest numbers in the entire original set of data. Now, you should have 5 numbers, the minimum, 1st quartile, median, 3rd quartile, and maximum. To make our actual plot, you plot a scale along one axis and make a tick mark for each of the 5 values we found before. Then, create a line connection the minimum to the 1st quartile and the 3rd quartile to the maximum. Finally, connect the 1st quartile to the 3rd quartile with a rectangle and you're done!
In addition, some plots add one more feature to make it easier to spot outliers. What they do is start by finding the difference between the 1st and 3rd quartile which is called the IQR (Inter-Quartile Range). Then, you see if every number less than the 1st quartile (and larger than the 3rd) is more than 1.5 times the IQR away. If it is, you remove the line going through any such values and place a little box at the point. Any place that gets a box can be called an outlier.
No because box and whisker plots are related to cumulative frequency curves
Nothing. Most box and whisker plots do not have 88 on them!
I believe it was John Tukey in 1997
never, you will never use it
it is absolutely cazy and stupiddunno
No because box and whisker plots are related to cumulative frequency curves
Nothing. Most box and whisker plots do not have 88 on them!
Yes, I believe they can.
Parallel box and whisker plots are regular box and whisker plots, but drawn "one-above-the other" on the piece of paper. To enable to do this easily, draw an x-axis which is big enough for the largest value in the data, and small enough for the smallest value in the data (in the entire collection of data). Plot each box-and-whisker diagram below each other.
On a standard box-and-whisker plot, the averages used are medians. Arithmetic means are used in some box-and-whisker plots, but most use medians.
I believe it was John Tukey in 1997
never, you will never use it
It's eaiser to see the outlier ( odd number) out of the data.
it is absolutely cazy and stupiddunno
Box-and-whisker plots highlight central values in a set of data. In order to construct a box-and-whisker plot, the first step is to order your data numerically and find the median value.
It means that the smaller value (in the lowest quartile) are more spread out than larger values.
More people in different professions are finding use for box and whiskers plots. It can be used very effectively in time series analysis, which may include engineers, economists, earth scientists, statistician, social sciences and medicine, to name a few professions. Stock market analysis using the open, hi, low & close format as used in Excel is not really the same, but it does show the range of the values for a stock, and relavent values. Excel (by Microsoft) does not have box and whisker plots, but there are many companies selling add in programs to make these plots. I use the Matlab program, which has the capabilities to make box and whisker plots. See related links.