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| More about the basic assumptions of t-test: normality and sample size |
| Tae Kyun Kim, Jae Hong Park |
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Korean J Anesthesiol. 2019;72(4):331-335. Published online April 1, 2019 DOI: https://doi.org/10.4097/kja.d.18.00292 |
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More about the basic assumptions of t-test: normality and sample size Korean Journal of Anesthesiology. 2019;72(4):331-335  RELAXING ASSUMPTIONS IN THE ONE SAMPLE t-TEST Australian Journal of Statistics. 1980;22(2):143-153 Untested assumptions about within-species sample size and missing data in interspecific studies Behavioral Ecology and Sociobiology. 2012;66(9):1363-1373 A closer look at the effect of preliminary goodness-of-fit testing for normality for the one-sample t-test British Journal of Mathematical and Statistical Psychology. 2010;64(3):410-426 Contribution to the discussion of “When should meta-analysis avoid making hidden normality assumptions?” Meta-analysis and normality assumptions in statistical bioinformatics Biometrical Journal. 2018;60(6):1064-1065 One-Sample T-Test Basic and Advanced Statistical Tests. 2017;9-12 Implicit function theorem without a priori assumptions about normality Computational Mathematics and Mathematical Physics. 2006;46(2):195-205 No more assumptions about whether control results have a Gaussian distribution. Clinical Chemistry. 1988;34(4):769-770 COVID-19 prevalence estimation by random sampling in population - Optimal sample pooling under varying assumptions about true prevalence . 2020; COVID-19 prevalence estimation by random sampling in the population - Optimal sample pooling under varying assumptions about true prevalence . 2020; |
