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More about the basic assumptions of t-test: normality and sample size |
Tae Kyun Kim, Jae Hong Park |
Korean J Anesthesiol. 2019;72(4):331-335. Published online April 1, 2019 DOI: https://doi.org/10.4097/kja.d.18.00292 |
More about the basic assumptions of t-test: normality and sample size Untested assumptions about within-species sample size and missing data in interspecific studies Contribution to the discussion of “When should meta-analysis avoid making hidden normality assumptions?” Meta-analysis and normality assumptions in statistical bioinformatics Implicit function theorem without a priori assumptions about normality COVID-19 prevalence estimation by random sampling in population - Optimal sample pooling under varying assumptions about true prevalence More on the Supremum Statistic to Test Multivariate Skew-Normality RELAXING ASSUMPTIONS IN THE ONE SAMPLE t-TEST COVID-19 prevalence estimation by random sampling in the population - Optimal sample pooling under varying assumptions about true prevalence Fundamental considerations about design and sample size in strain comparisons and their implications Intuitive Judgments about Sample Size |