CrossRef Text and Data Mining |

Result of CrossRef Text and Data Mining Search is the related articles with entitled article. If you click link1 or link2 you will be able to reach the full text site of selected articles; however, some links do not show the full text immediately at now. If you click CrossRef Text and Data Mining Download icon, you will be able to get whole list of articles from literature included in CrossRef Text and Data Mining. |

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, 2019DOI: https://doi.org/10.4097/kja.d.18.00292 |

More about the basic assumptions of t-test: normality and sample size RELAXING ASSUMPTIONS IN THE ONE SAMPLE t-TEST Untested assumptions about within-species sample size and missing data in interspecific studies A closer look at the effect of preliminary goodness-of-fit testing for normality for the one-sample t-test Contribution to the discussion of “When should meta-analysis avoid making hidden normality assumptions?” Meta-analysis and normality assumptions in statistical bioinformatics One-Sample T-Test Implicit function theorem without a priori assumptions about normality No more assumptions about whether control results have a Gaussian distribution. COVID-19 prevalence estimation by random sampling in population - Optimal sample pooling under varying assumptions about true prevalence COVID-19 prevalence estimation by random sampling in the population - Optimal sample pooling under varying assumptions about true prevalence |