Minitab Archive by Bill Qualls
About this pageI created this page in 2022. In the past couple of years I have fielded some questions about Minitab. I haven't used Minitab since about 1998 when I was an Assistant Professor of Mathematics at Waubonsee Community College in Illinois. I always liked Minitab, but never had the opportunity to use it in my professional life: I have used SAS, Python, and R extensively. So I decided it might be nice to put all of my Minitab programs into a web archive. I hope someone gets some use out of these. If you do, I would love to hear from you: email me at firstname.lastname@example.org.
About SoftwareAll of my programs were run on an old version of Minitab, Release 8.21, copyright 1991. Consequently all of my programs are text scripts. Filenames were limited to 8 characters. I never used any Windows interface. (Scripts are great because you can easily save, edit, and rerun your script.) If you happen to have a very old version of Minitab, you can probably still run it if you do so thru DOSBox. (DOSBox -- a free download -- was written primarily for gamers so they could run legacy video games on newer computers: it also works well with Minitab!) By doing so, I was able to run all of the programs contained herein using Windows 10.
Running Minitab in DOSBoxAfter starting DOSBox, and assuming Minitab is located at D:\minitab:
Z:\>mount c d:\minitab Z:\>c: C:\>minitabType
Running the scripts
MTB> outfile 'myscript.txt' MTB> execute 'myscript.mtb'Programs should be in the Minitab folder. Outputs will be in the Minitab folder by default. You can enter filename as upper or lower case. Regardless, output filenames will always be all uppercase. If you run the program multiple times with the same outfile name, the output will be appended to the existing file (you probably don't want that, so delete the old output before rerunning.)
Enter and display data
Means and medians and modes, Oh my!
Calculating z scores
Area under the standard normal
Area under the (non-standard) Normal Distribution
C.I. and T.O.H. for small sample (ttest and tint)
Two-sample t test (unpaired)
Two-sample t test (paired difference)
Simple Linear Regression
Multiple Linear Regression
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