If there is less than a 5% chance of a result as extreme as the sample result if the null hypothesis were true, then the null hypothesis is rejected. When this happens, the result is said to be statistically significant .
How do you know when to reject a hypothesis?
After you perform a hypothesis test, there are only two possible outcomes.
- When your p-value is less than or equal to your significance level, you reject the null hypothesis. The data favors the alternative hypothesis. ...
- When your p-value is greater than your significance level, you fail to reject the null hypothesis.
When null hypothesis is accepted or rejected?
If the P-value is less than (or equal to) , then the null hypothesis is rejected in favor of the alternative hypothesis. And, if the P-value is greater than , then the null hypothesis is not rejected.
