We have received the p-value that equals 0.94.

0.94 > 0.05

Do you recall this?

• 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.

Our result means that we can not reject the H0 hypothesis.

It means that we don't need to implement a new button!