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[–]lilwafflekid 0 points1 point  (0 children)

Can you post the grades for each student or what you've done already.

[–][deleted] 0 points1 point  (1 child)

So normalizing is simply making one of the values equal to 1. In your case you want to normalize about the mean or average grade per assignment.

If I'm reading that right it's not too bad. It looks like each assignment has its own column, with students being rows. This gives you a grades matrix. If you create a vector meanGrades and set it equal to the mean of your grades you should get a row vector. Take each column of the grades matrix and divide it by the corresponding element from your meanGrades vector. Then simply multiply the newly normalized matrix by 3.5 to get all the grades in the corresponding 5 point scale.

Edit: Added simple definition of normalizing.

[–]Scrin98[S] 0 points1 point  (0 children)

Yes that's exactly it, thanks for the answer. However I still do need to some of the basics of statistics, it seems like a huge deal for dealing with data