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chapter ii probability

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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

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6 Sample space and combinatory

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