![boxplot minitab 18 boxplot minitab 18](https://support.minitab.com/en-us/minitab/18/boxplot_range_box.png)
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The boxplot Maximum, defined as Q3 plus 1.5 times the interquartile range. To change the value order right click on the sample column and select Column Properties →Value Order. The boxplot Minimum, defined as Q1 less 1.5 times the interquartile range.
![boxplot minitab 18 boxplot minitab 18](https://i.ytimg.com/vi/URJOKsPh50A/maxresdefault.jpg)
This can be corrected by changing the value order or the Sample column. In this case, the Graph variable is Removal Torque and the categorical variable (Group) is Sample.įrom the above graph you will notice that sample S1 through S12 are not in ascending order as S10, S11 and S12 precede sample S2. Fill in the variables for graph variables (Y-axis) and Categorical variables (X-axis) and click OK.Then select on One Y With Groups and click OK.To create the individual values plot per group:
#Boxplot minitab 18 how to
In this mini-tutorial I’ll show you how to create a graph like the one below: To analyze these data you could create an individual value plot with the means per group. During the packaging of each batch you take 12 samples of 20 bottles and measure a variable called removal torque (“force” to remove the cap) for each bottle. Imaging a packaging process where caps are screwed to bottles.
![boxplot minitab 18 boxplot minitab 18](https://goleansixsigma.com/wp-content/uploads/2016/05/3-Minitab-BoxPlot.png)
To illustrate the use of individual value plots we will work in the following scenario: You can also observe the general profile of the data if you add the mean values for each of the samples. One of the most useful charts in Minitab is the Individual Values Plot since it allows you to see the distributions of the samples.