Final answer:
To reject or not reject the null hypothesis depends on the comparison between the p-value and the significance level.
Step-by-step explanation:
The decision of whether to reject or not reject the null hypothesis is based on the comparison between the p-value and the significance level (alpha).
If the p-value is not less than the significance level, the null hypothesis is not rejected.
If the p-value is less than the significance level, the null hypothesis is rejected.
The null hypothesis is a statement that there is no significant difference or effect, or that a particular parameter is equal to a specific value.
It is a fundamental concept in statistical hypothesis testing.