TOST(sample1, sample2, d1, d2, alpha)
As per Roger et al, 1993, this function tests if two samples come from distributions with different means, against the alternative hypothesis that the distribution means are the same. I.e.,
H0: the two distributions have different means (the difference between the means falls outside of an equivalence interval [d1, d2])
HA: the two distributions have equivalent means (the difference between the means falls within the equivalence interval [d1, d2])
This function performs two one-sided t-tests on the input samples. The outputs of this function include two p values (one per t-test) and a 90% confidence interval. The null hypothesis should be rejected if max([p1, p2]) > alpha, or if the confidence interval falls outside of the equivalence interval.
Cite As
Anisha (2024). TOST(sample1, sample2, d1, d2, alpha) (https://www.mathworks.com/matlabcentral/fileexchange/63204-tost-sample1-sample2-d1-d2-alpha), MATLAB Central File Exchange. Retrieved .
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Version | Published | Release Notes | |
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1.0.0.0 | Updated description. |