how to perform a ztest in matlab

main.m
zscore = (sample_mean - population_mean) / (population_std / sqrt(sample_size));
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main.m
pvalue = 1 - normcdf(abs(zscore));
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main.m
% Define the input parameters
sample_mean = 4.2;
population_mean = 4;
population_std = 1;
sample_size = 100;
alpha = 0.05;

% Calculate the z-score and the p-value
zscore = (sample_mean - population_mean) / (population_std / sqrt(sample_size));
pvalue = 1 - normcdf(abs(zscore));

% Test whether the null hypothesis can be rejected
if pvalue < alpha
    fprintf('The null hypothesis can be rejected at the %g%% significance level.\n', alpha * 100);
else
    fprintf('The null hypothesis cannot be rejected at the %g%% significance level.\n', alpha * 100);
end
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main.m
The null hypothesis can be rejected at the 5% significance level.
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