Correction: The Chi-square test is a non-parametric statistic, also called a distribution free test. Details coming in upcoming videos.


There are several statistical tests and a process by which you can decide which to use.
These tests are:
- Parametric and Non-Parametric Tests
-Tests of Comparison and Tests of Relationships
-Test for Categorial and Continuous Variable
-Shapiro-Wilk test
-Kolmogorov-Smirnov Test
-Levene's test
-Parametric Tests:
-Chi Squared Test
-t-Tests:
--one-sample t-Test
--Unpaired t-Test
--Paired t-Test
-ANOVA (Analysis of Variance)
-Pearson's Correlation
-Regression
-Non-Parametric Tests
-One-Sample Wilcoxon Signed rank test
-Mann Whitney's U-Test
-Wilcoxon
-Kruskal-Wallis test
-Spearman's Correlation
-Kendall's Tau
-and many more explained in this video


Here is the playlist of Publication ready blots with statistical Analysis:
https://www.youtube.com/watch?v=0JvX2V6QhCs&list=PL9XvIvvVL50Hi2RGu-zlNEnk9WJMjPH-g

How to do one-way ANOVA in R with Publication ready Barplot: https://www.youtube.com/watch?v=HN81hOq5l2k&list=PL9XvIvvVL50Hi2RGu-zlNEnk9WJMjPH-g&index=6

How to do Two-Way ANOVA in R with Publication ready Barplot:
https://www.youtube.com/watch?v=C_mDprXt0OU&list=PL9XvIvvVL50Hi2RGu-zlNEnk9WJMjPH-g&index=7