Hypothesis Testing

Hypothesis testing is done to reject or fail-to-reject a hypothesis.
One hypothesis is not accepted directly, because we can't test for all data in the world.

Steps for Hypothesis Testing

  1. Define a hypothesis from a sample dataset
  2. Do more testing on more different dataset
    1. if they all are opposite, then reject the hypothesis
    2. If they are similar, then fail-to-reject the hypothesis

If the hypothesis is "there is no difference between A & B", then it is called Null Hypothesis