Producing a Clustered Boxplot in SPSS and Detecting Outliers
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- Опубликовано: 15 май 2017
- This video demonstrates how to produce a clustered boxplot SPSS. The clustered boxplot can display boxplots for each combination of the levels of two independent variables. The elements of the boxplot and how to detect outliers using the interquartile range (IQR) are reviewed.
I don't have much experience with clustered boxplots so this was new information for me. It was clear and easy to follow. This was interesting to see how the data was entered and created the boxplot.
I never thought I would see a boxplot ever again!
Outliers are an important factor to consider when dealing with statistics. This video is a helpful tool to be able to identify outliers in order to ensure outliers are not throwing off the results
I have never used box plots before, so this was interesting to watch regarding how to make one. However, the only part that was a little confusing to me was at the end regarding the quartiles and finding the outliers. The one aspect that I found a bit unclear was how you found the top quartile number. Other than that, everything was very straightforward. Thank you!
thank you!
It was interesting to see how the data you entered can be created into the boxplot chart.
Thank you Dr. Todd for your thorough illustration and I found all of your videos are useful for me as I am a SPSS user. I am just wondering if you are familiar with using SPSS to do meta-analysis. If you do, I hope that you could show us how to do meta-analysis step by step using SPSS and its Macros.
thank you for the video. this may be a silly questions, but can a clustered box plot be done in excel or a variation of it i mean? thank you for the informative video
Thank you for your video, but how to add an average marker to the box plot