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ns Chi-square test. For interval/ratio data, there are more options available. The most common tests are: T-test, ANOVA, Correlation, Regression analysis. The number of samples you have will also influence which test is appropriate. If you have two samples, you may use a T-test or Chi-square test. If you have more than two samples, ANOVA may be more appropriate. Lastly, the purpose of your analysis will also guide your choice of test. Are you comparing means, proportions, or testing relationships between variables? By considering these factors, you can choose the most suitable statistical test for your data analysis.
