% Load the CSV file
data =  csvread('class-grades (2).csv', 1, 0) % Assuming the first row is the header

% Extract the 'Final' column
final_column = data(:, 3); % Assuming 'Final' is the third column (index 3)

% Calculate mean and standard deviation
mean_value = mean(final_column);
std_dev = std(final_column);

% Calculate z-scores
z_scores = (final_column - mean_value) / std_dev;

% Identify outliers based on z-scores
outliers = z_scores > 3 | z_scores < -3;
final_column(outliers) = NaN; % Mark outliers as NaN

% Display results
disp(['Mean: ', num2str(mean_value)]);
disp(['Standard Deviation: ', num2str(std_dev)]);
disp('Data z-scores:');
disp(z_scores);
disp('Data with z-score outliers marked:');
disp(final_column);