Normality Tests for Statistical Analysis: A Guide for Non-Statisticians
| Author | Asghar Ghasemi | en |
| Author | Saleh Zahediasl | en |
| Issued Date | 2012-04-20 | en |
| Abstract | Statistical errors are common in scientific literature and about 50% of the published articles have at least one error. The assumption of normality needs to be checked for many statistical procedures, namely parametric tests, because their validity depends on it. The aim of this commentary is to overview checking for normality in statistical analysis using SPSS. | en |
| DOI | https://doi.org/10.5812/ijem.3505 | en |
| Keyword | Normality | en |
| Keyword | Statistical Analysis | en |
| Publisher | Brieflands | en |
| Title | Normality Tests for Statistical Analysis: A Guide for Non-Statisticians | en |
| Type | Letter | en |
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