create a script to find the mean and standard deviation of countermovement jump data in matlab

Assuming countermovement jump data is stored in a dataset or matrix 'data', you can use the built-in mean and std functions to obtain the mean and standard deviation respectively.

main.m
% load data (assuming it is in a file named 'countermovement_data.csv')
data = readtable('countermovement_data.csv');

% extract relevant column containing jump data
jump_data = data.jump_height;

% compute mean and standard deviation
mean_jump = mean(jump_data);
std_jump = std(jump_data);
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You can change the filename and column containing the jump data to match your specific dataset.

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