I tried what Paul suggested and I don't think it does what Bill wants, but I could be misinterpreting what he wants. My interpretation is that he has data like this
1 24 2 14 3 12 4 0 5 1
representing 50 numbers (all integers between 1 and 5 inclusive) and he wants ONE mean for all 50 numbers. I do not get ONE mean from the TABLE command. I can do this with a macro I wrote. See end of message. I'd be curious if this is what Bill wanted and if the results below are what Paul is getting by his method for this data.
----- Forwarded message from Paul James -----
I think what you are looking for is in the table command under stats. 1. go to - tables 2. cross tabulation 3. in Classification variables enter c1 4. trun on Frequencies are in box and enter c2 5 go to summaries, pick what you want (very limited and not all seem to work) 6. in associated variables enter c1 and you are off to the races
>> >>I'm using Minitab for my Statistics classes, and I was trying to do something >>last night and got stuck. I have a list of data in column C1 and their >>corresponding frequencies in column C2. I want to do descriptive statistics >>on it, and I can't figure out how to tell Minitab that the frequencies are in >>C2. All it will do is give me the statistics on C1, without using their >>frequencies. I know that I'm probably being pretty thick headed and there is >>something obvious that I'm missing, but I don't know what to do. I've read >>the books and manuals that I have, and they don't seem to help. I'd also >>like to make a normal probability chart of the data, and it isn't doing that >>either. If it makes a difference, I'm using the student edition. >> >>Can anyone tell me what I'm doing wrong? You'll have my eternal gratitude. >> >>Bill Roloff
----- End of forwarded message from Paul James -----
MTB > set c1 DATA> 1 2 3 4 5 DATA> end MTB > set c2 DATA> 23 14 12 0 1 DATA> end MTB > execute 'stats1a/macros/vargroup' Executing from file: stats1a/macros/vargroup.MTB
This macro computes the mean, variance, and standard deviation of grouped data. The data values must be stored in c1 and their frequencies in c2. The results of all intermediate steps are printed out to aid students in learning to do these computations by hand. The macro will destroy any data stored in c2-c4, k1-k7, and any name given to c1.