The 2-Proportions Test is a test to check whether samples taken from two different conditions are different regarding their proportion. It compares whether the different proportions in two samples are different only due to random chance or because the samples have a fundamental (significant) difference. When the p-value derived from the 2-Proportions Test is small (commonly used < 0.05) the two samples are significantly different.

At least 5 samples for every condition

Step-by-step approach:

  1. Visualize the Data
  2. Formulate Hypothesis
  3. Decide on the Alpha Risk
  4. Select and conduct appropriate test
  5. Verify test assumptions
  6. Make a decision