Bayesian Statistics Example clarification

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lets assume we have the following data:

$$ \text{Test Result} | \text{Has Disease}\\ 1 | 1\\ 1 | 1\\ 1 | 0\\ 0 | 0\\ 0 | 0\\ 0 | 0\\ 0 | 1\\ 1 | 1\\ 1 | 0\\ 1 | 1 $$

Lets denote P(B) as the probability that one has the disease and P(A) as the probability of a positive test result.

Is it correct to calculate

$$P(B) = \frac{6}{10}$$

and

$$P(A) = \frac{5}{10}$$?

Furthermore, let's evaluate P(B=1|A=1) as the probability of having the disease given that the test result is positive.

Is it correct to say that $$P(B=1|A=1) = \frac{4}{10}$$?

Thanks for any corrections / answers.