Bayes theorem probaility doesn't make sense I try to use Bayes Theorem to calculate the probability of $P(A|B)$. I have $P(A)$ in column1, $P(B|A)$ in colmn2, $P(B)$ in column 3. I get the following:



my calculations were:

$$P(B/A) = 0.8\times A$$
$$P(B) = (Bx*0,55)+((1-Bx)*(0,55))$$
$$P(A/B) = (Ax*Bx)/Cx$$

The probability gets above 1. What am I doing wrong?
The problem is your data! For example, the last row shows that $\mathbb{P}(A) = 1$ and $\mathbb{P}(B|A) = 0.8$. If $\mathbb{P}(A) = 1$ means $A$ is equivalent to all possiblities of event world. Hence, $\mathbb{P}(B|A)$ couldn't be anything except 1.