The P-Value is a statistical indicator that allows us to evaluate if our results are statistically significant.
We must declare a null hypothesis (H0) and an alternative hypothesis (H1) which is the one we are going to evaluate.
In addition, the confidence level should be specified, which is the probability that the value is in the confidence interval. Normally, the most common value of this confidence level is 95%.
Once the P-Value has been calculated:
For 95% alpha is 0.05
If P-Value < alpha = 0.05 our results are statistically significant and the hypothesis h0 is rejected
P-Value > alpjha = 0.05 hypothesis h1 is rejected
A hypothesis can't be accepted, it can only be rejected, and it must also be taken into account that a hypothesis that is not rejected must also be evaluated with other statistical indicators.