What kind of test are used to analyze for experimental treatments?

After calculating the mean and standard deviationvalues each value of the independent variable in the data, these are a few common tests that are used to further analyse the data and highlight its significance:

1) Pearson Correlation Coefficient

- This is to test for a strong/weak positive/negative correlation between the independent variable and the dependent variable. However, correlation does not necessarily imply causation.

2) t-test

- This post-hoc test is used to determine the level of significance of the difference between two sets of data.

3) Chi2 test

- This test tests for whether the difference in Expected and Observed values are significant or not.

4) Analysis of variance (ANOVA)

- This is like a massive t-test to test an entire set of data, without inflating the error of the analysis results. This is usually coupled with Tukey's Honest Significant Difference test.