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PROBABILITY AND STATISTICS

CHAPTER 1 PERMUTATIONS AND COMBINATIONS

1 BASIC COUNTING PRINCIPLES
1.1 SUM AND PRODUCT RULES

2 PERMUTATIONS AND COMBINATIONS
2.1 PERMUTATIONS
2.2 COMBINATIONS
2.3 CIRCULAR PERMUTATIONS, PERMUTATIONS WITH REPETITION, AND PERMUTATIONS INVOLVING IDENTICAL OBJECTS
2.4 COMBINATIONS WITH REPETITION

3 PARTITIONS
3.1 PARTITIONS OF A SET
3.2 PARTITIONS OF POSITIVE INTEGERS

4 THE BINOMIAL THEOREM
4.1 THE BINOMIAL THEOREM
4.2 APPLICATIONS OF THE BINOMIAL THEOREM

CHAPTER 2 PROBABILITY

5 DEFINITION OF PROBABILITY AND APPLICATIONS
5.1 MATHEMATICAL AND STATISTICAL PROBABILITY
5.2 BASIC PROPERTIES OF PROBABILITY
5.3 ADDITION RULE OF PROBABILITY
5.4 PROBABILITY OF COMPLEMENTARY EVENTS

6 CONDITIONAL PROBABILIT
6.1 DEFINITION OF CONDITIONAL PROBABILITY
6.2 INDEPENDENT AND DEPENDENT EVENTS
6.3 MULTIPLICATION RULE OF PROBABILITY

CHAPTER 3 STATISTICS

7 PROBABILITY DISTRIBUTIONS
Introduction to Statistics
: Mean, Median, Mode and Range
7.1 RANDOM VARIABLES AND PROBABILITY DISTRIBUTION
7.2 EXPECTED VALUES AND STANDARD DEVIATIONS OF RANDOM VARIABLES
7.3 BINOMIAL DISTRIBUTIONS
7.4 DEFINITION AND PROPERTIES OF NORMAL DISTRIBUTION

8 STATISTICAL ESTIMATION
8.1 POPULATION AND SAMPLES / SAMPLE MEANS
8.2 ESTIMATION OF THE POPULATION MEAN
8.3 ESTIMATION OF THE POPULATION PROPORTION

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7.3 ÀÌÇ׺ÐÆ÷
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8 Åë°èÀû ÃßÁ¤
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8.2 ¸ðÆò±ÕÀÇ ÃßÁ¤
8.3 ¸ðºñÀ²ÀÇ ÃßÁ¤