Quantitative tools - References
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No longer available:
Dong-Yun Kim, "MAT 356 R Tutorial, Spring 2004", web page, Department of Mathematics, Illinois State University, Normal, IL, USA, last modified: 14 January 2004 07:51:38 AM CET, formerly at http://math.illinoisstate.edu/dhkim/rstuff/rtutor.html
R Graphics Gallery, [Accessed 2021-09-11] https://www.r-graph-gallery.com/ Links to an external site.
Discussion of automated successor site at: http://www.r-bloggers.com/improving-the-graph-gallery/
Transcript
There is a lot more that you can read about this. So I wish you lots of success in applying your tools, such as Excel and R, to analyze your data.
The book that I mention by Tom Tullis and Bill Albert, Measuring the user experience: collecting, analyzing, and presenting usability metrics. This is a particularly interesting book because these people are concerned about (yes) "How do I measure the usability of web sites?" because they worked for a very large corporation and they discuss how can you actually compute by conducting experiments based on the user's interacting with different versions of the web pages to optimize the webpage to provide [a] better quality experience for the users. Best of luck with your statistical analysis.