## 1. Types of Events

### 1.1. simple event

### 1.2. mutually exclusive events

1.2.1. disjoint event

### 1.3. independent events

### 1.4. dependent events

### 1.5. complementary event

## 2. Interpretations of Probability

### 2.1. relative frequency

### 2.2. personal probability

2.2.1. subjective probability

### 2.3. coherent probabilities

## 3. Key Definitions

### 3.1. random circumstance

### 3.2. sample space

### 3.3. conditional probability of the event B, given that the event A occurs: P(A|B)

### 3.4. tree diagram

### 3.5. event

### 3.6. complement

## 4. Probability Rules

### 4.1. Rule 1: "not the event"

### 4.2. Rule 2: addition rule for "either or"

4.2.1. Rule 2a: general

4.2.2. Rule 2b: mutually exclusive events

### 4.3. Rule 3: multiplication rule for "and"

4.3.1. Rule 3a: general

4.3.2. Rule 3b: independent events

4.3.3. Extension of Rule 3b: more than two independent events