Estimated type I errors of two sample t-test for testing the equality of mean of two Exp-gamma distributions as a function of sample sizes.

<p>The middle dashed line represents the nominal significance level at <i>α</i> = 0.05; and upper and lower dashed lines are upper and lower limits for satisfactory type I error rates, which are 0.06 and 0.04 with 2000 simulations runs, respectively.</p>

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Bibliographic Details
Main Author:	Jia Wang (51945) (author)
Other Authors:	Lili Tian (139812) (author), Li Yan (107001) (author)
Published:	2024
Subjects:	Molecular Biology Inorganic Chemistry Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified exaggerated false positives confidence interval estimation common prepossessing step two experimental conditions larger sample sizes gamma distribution stands specific distribution used transformed gamma distribution modeling genomic data gamma distribution two sample transformed data genomic study gamma means gamma distributions xlink "> statistical model statistical methods proper biological profound impact normally distributed hypothesis testing detecting differences cell experiments
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Estimated type I errors of two sample t-test for testing the equality of mean of two Exp-gamma distributions as a function of sample sizes.

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