When you perform a hypothesis test in statistics, a p-value can help you determine the strength of your results.
p-value is a number between 0 and 1. Based on the value it will denote the strength of the results.
The claim which is on trial is called the Null Hypothesis.
Low p-value (≤ 0.05) indicates strength against the null hypothesis which means we can reject the null Hypothesis.
High p-value (≥ 0.05) indicates strength for the null hypothesis which means we can accept the null Hypothesis p-value of 0.05 indicates the Hypothesis could go either way.
To put it in another way, High P values: your data are likely with a true null.
Low P values: your data are unlikely with a true null.