You may form a hypothesis about an every day event.
Chat with our AI personalities
It leads to the result.AnswerNot always. Sometimes it leads you to confusion.
When you formulate and test a statistical hypothesis, you compute a test statistic (a numerical value using a formula depending on the test). If the test statistic falls in the critical region, it leads us to reject our hypothesis. If it does not fall in the critical region, we do not reject our hypothesis. The critical region is a numerical interval.
They should go back to the theories on which the hypothesis was based and determine which of them was most likely to have been wrong. This should be followed by either coming up with a modification of the theory or the development of a new theory.
When we've proven that the hypothesis is false !
The difference is that working hypothesis is that your still working on it but the hypothesis that your not working on it.