What are the key assumptions for applying the Sign Test?
- Data must be at least ordinal
- Data must be categorical
- Data must be continuous
- Data must be normally distributed
The key assumption for applying the Sign Test is that the data must be at least ordinal. The Sign Test is a non-parametric test and does not require the assumption of normality.
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