# Prelim 1 Scores

```%Some people asked about the statistics for prelim 1.
%Here are all the non-zero grades for the class.

prelim1_scores=[73 97 89 94 86 96 84 93 84 66 96 88 71 91.5 88.5 ...
97 73.5 73 100 64 95.5 83 90.5 97 76 84 59.5 94 86.5 87.5 74.5 89 ...
88 74.5 96 88 92.5 94 92 87 91 92 98.5 75 79.5 87 82 95 69 96 84 ...
104.5 98 80.5 77 89 78 87 89 79 103 85 77.5 81 87 76 92 89 97 79.5 ...
45 106 81 79.5 81 75 85 38 69 97 86 86.5 85.5 92 68 93 78 90.5 ...
100.5 81 88 93 86 37 101 81 89 88 93 69 80 83.5 103 84 97.5 84 ...
103.5 85 99.5 94 81 94 84 95 80 67 82 83.5 97.5 81.5];

%You can calculate any statistics you can think of.
%Here are some of the standard things that people
%look at when they look at  distributions of numbers.

p1=prelim1_scores;  %short hand
n=length(p1)
mean(p1)
median(p1)
std(p1)
min(p1)
max(p1)

%bell curve? Oh well.
hist(p1,30); xlabel('score on Prel 1'); ylabel('number of students')

%I like the following plot best, ideally an 'error function' or
%'cumulative normal' distribution.
p1sorted = sort(p1); plot(  p1sorted , 1:n)

```