s = load('classGrades.mat','namesAndGrades');
s.namesAndGrades(1:5,:);
grades = s.namesAndGrades(:,2:end);
meanGrades = mean(grades)
meanGrades = nanmean(grades)
meanMatrix = ones(15,1)*meanGrades
curvedGrades = 3.5*(grades./meanMatrix);
nanmean(curvedGrades)
curvedGrades(find(curvedGrades>5)) = 5;
totalGrade = (ceil(nanmean(curvedGrades,2)))'
letters= 'FDCBA';
lettersGrades = letters(totalGrade)