To Sum Up

We have received the p-value that equals the number that ≤ 0.05:

• Traditionally, if p ≤ 0.05, then there are enough arguments to reject the H0 and approve H1, although there is a small chance against this. Then one can reject the H0 and say that the results are significant at the 5% level;
• On the contrary, if p > 0.05, then there are not enough arguments to reject the H0. Without rejecting the H0, we can state that the results are not significant at the 5% level.

So, we can approve the H1 hypothesis. It means that the new version of the site can be better, and we can implement it to increase in clicks.