What if my p value is below 0.05 does it reject or fail the null hypothesis

From the Wikipedia article that I told you about earlier...

"Under traditional null hypothesis testing, the null is rejected when P(Data | Null) (where P(x|y) denotes the probability of x given y) is very small, say 0.05."

okay I am sorry but that is why I asked this question because I don't understand what all that means. Im gonna guess if the p value is not below 0.05 then it Fails to reject the Null Hypothesis and if it is about 0.05 then it just rejects or fails the null hypothesis right

I'm not quite sure... I haven't taking a Statistics course. Maybe someone else can confirm your logic.

haven't taken*

If your p-value is below 0.05, it typically indicates that you have statistically significant evidence to reject the null hypothesis. In hypothesis testing, the null hypothesis represents the hypothesis of no effect or no difference between groups or variables. A p-value is a measure of how likely you would observe the data if the null hypothesis were true.

To determine whether to reject or fail to reject the null hypothesis based on the p-value, you can compare the p-value to the commonly used significance level (alpha), often set at 0.05. If the p-value is less than 0.05, it means there is less than a 5% chance of obtaining the observed data if the null hypothesis were true. Thus, you reject the null hypothesis and conclude that there is statistically significant evidence to support the alternative hypothesis (the hypothesis that you are testing).

It is important to note that the decision to reject or fail to reject the null hypothesis should not be solely based on the p-value. Other factors, such as the study design, effect size, and practical significance, should also be considered in making a well-informed conclusion.