calculate cdf in matlab

In Matlab, you can calculate the cumulative distribution function (CDF) of a random variable using the cdf function.

Syntax:

main.m
y = cdf(pd, x)
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where pd is a probability distribution object that represents the distribution of the random variable and x is the value at which to evaluate the CDF.

Here's an example of how to calculate the CDF of a normal distribution using the cdf function:

main.m
% Define a normal distribution with mean 0 and standard deviation 1
pd = makedist('Normal', 0, 1);

% Evaluate the CDF at x = 0.5
x = 0.5;
y = cdf(pd, x);

% Print the result
fprintf('The CDF at x = %.2f is %.4f\n', x, y);
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This will output:

main.m
The CDF at x = 0.50 is 0.6915
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This means that the probability that a random variable from this normal distribution is less than or equal to 0.5 is approximately 0.6915.

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