The two-sample t test: pre-testing its assumptions does not pay off
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DOI: 10.1007/s00362-009-0224-x
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- Herbes, Carsten & Rilling, Benedikt & Holstenkamp, Lars, 2021. "Ready for new business models? Human and social capital in the management of renewable energy cooperatives in Germany," Energy Policy, Elsevier, vol. 156(C).
- I. Parra-Frutos, 2016. "Preliminary tests when comparing means," Computational Statistics, Springer, vol. 31(4), pages 1607-1631, December.
- Leonie Kuen & Fiona Schürmann & Daniel Westmattelmann & Sophie Hartwig & Shay Tzafrir & Gerhard Schewe, 2023. "Trust transfer effects and associated risks in telemedicine adoption," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-22, December.
- David Curtis, 2024. "Welch’s t test is more sensitive to real world violations of distributional assumptions than student’s t test but logistic regression is more robust than either," Statistical Papers, Springer, vol. 65(6), pages 3981-3989, August.
- David Weltman & Mark Eakin, 2014. "Incorporating Unusual Fonts and Planned Mistakes in Study Materials to Increase Business Student Focus and Retention," INFORMS Transactions on Education, INFORMS, vol. 15(1), pages 156-165, September.
- Tsai, Arthur C. & Liou, Michelle & Simak, Maria & Cheng, Philip E., 2017. "On hyperbolic transformations to normality," Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 250-266.
- Pablo Flores & María de Lourdes Palacios, 2024. "Goodness and lack of fit tests to pretest normality when comparing means," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 34(1), pages 119-129.
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Keywords
Pre-tests; Two-sample t test; Welch-test; Wilcoxon-U test;All these keywords.
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