Question

You are given a vector of test scores (tests = [56, 75, 90, 45, 76, 21, 86, 95, 81, 84, 79, 67, 76, 72, 89, 85, 55] ) and you wish to normalize these scores by computing a new vector, normTests, which will contain the test scores on a linear scale from 0 to 100. A zero still corresponds to a zero and the highest test score will correspond to 100. (i.e. curve the tests - the maximum test score should correspond to 100). Also determine the average score after the tests have been normalized and the number of students that passed and failed (fail is any normalized score below 60).

Please answer in MATLAB code

Answer 1

tests = [56, 75, 90, 45, 76, 21, 86, 95, 81, 84, 79, 67, 76, 72, 89, 85, 55];
maxi = max(tests);
normTests = tests.*100/maxi;
avg = sum(normTests)/numel(normTests);

passed = 0;
failed = 0;

for i = 1:numel(normTests)
if normTests(i) < 60
failed += 1;
else
passed += 1;
end
end

normTests
avg
passed
failed

%{
normTests =

Columns 1 through 8:

58.947 78.947 94.737 47.368 80.000 22.105 90.526 100.000

Columns 9 through 16:

85.263 88.421 83.158 70.526 80.000 75.789 93.684 89.474

Column 17:

57.895

avg = 76.285
passed = 13
failed = 4
}%

% Hit the thumbs up if you are fine with the answer. Happy Learning!