Cursusinhoud
A/B Testing in Python
A/B Testing in Python
1. What is A/B Test?
Pink or Blue?
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!
Was alles duidelijk?
Bedankt voor je feedback!
Sectie 3. Hoofdstuk 9