ChiNone

ChiNone, also known as the Chi-squared test with no variables, is a method used in statistical analysis to determine if there is a significant relationship between observed data and what we would expect if there were no association. Essentially, it compares actual data with expected data assuming independence. If the differences are large, it suggests a potential link between variables; if small, it supports the idea that they are unrelated. ChiNone helps researchers assess whether observed patterns are due to chance or indicate a meaningful relationship.