how to calculate z-score in matlab

To calculate the z-score of a value in MATLAB, you can use the zscore function from the Statistics and Machine Learning Toolbox.

The z-score is the number of standard deviations away from the mean that a data point is, and can be calculated using the formula:

z = (x - mu) / sigma

Where x is the data point, mu is the mean of the data, and sigma is the standard deviation of the data.

Here is an example code for calculating the z-score using the zscore function in MATLAB:

main.m
% Create a normally distributed dataset
mu = 5; % mean
sigma = 2; % standard deviation
data = normrnd(mu, sigma, 100, 1);

% Calculate the z-score of a data point
x = 7;
z = zscore(data, x);

disp(['The z-score of x = ', num2str(x), ' is ', num2str(z)]);
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This will output the z-score of the data point x = 7.