1. chapter ii probability

2. THE DEFINITION OF probabilitY
A = event
A ≠ S and A ≠ Φ
Therefore, the probability of A => P (A)
Classical definition (priory)
If an experiment yields n outcomes which are not possible to emerge in the same time and each of the elements has the same probability, then the probability of event A is
for n(A) is he number of outcomes in event A.

3. Empiric Definition (superior)
Probability of event A in an experiment the relative frequency of event A if the experiment is repeated until jika eksperimen tersebut diulang-ulang mendekati tak hingga adalah
For n(A) is the number of A in n repetition.
Axiomatic Definition
Let S is a sample space of an experiment. P(A) is called the probability of event A, if it is satisfied these following conditions:
A.1. P(A) ≥ 0, for each event A.
A.2. P(A) = 1
A.3. If A1, A2, A3,… are a group of disjoint events or
Subjective Definition
Probability which is derived based on people’s consideration.

4. The properties of probability

6. Sample space and combinatory