Statistical tests are used to test the fit between a hypothesis and the data.[1][2] Choosing the right statistical test is not a trivial task.[1] The choice of the test depends on many properties of the research question. The vast majority of studies can be addressed by 30 of the 100 or so statistical tests in use.[3][4][5]
- ^ a b Parab, Shraddha; Bhalerao, Supriya (2010). "Choosing statistical test". International Journal of Ayurveda Research. 1 (3): 187–191. doi:10.4103/0974-7788.72494. ISSN 0974-7788. PMC 2996580. PMID 21170214.
- ^ "Entscheidbaum" (in German). Retrieved 8 February 2024.
- ^ Nayak, Barun K; Hazra, Avijit (2011). "How to choose the right statistical test?". Indian Journal of Ophthalmology. 59 (2): 85–86. doi:10.4103/0301-4738.77005. ISSN 0301-4738. PMC 3116565. PMID 21350275.
- ^ Lewis, Nancy D.; Lewis, Nigel Da Costa; Lewis, N. D. (2013). 100 Statistical Tests in R: What to Choose, how to Easily Calculate, with Over 300 Illustrations and Examples. Heather Hills Press. ISBN 978-1-4840-5299-0.
- ^ Kanji, Gopal K. (18 July 2006). 100 Statistical Tests. SAGE. ISBN 978-1-4462-2250-8.