Topic outline

  • General

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  • CHAPTER 1: INTRODUCTION TO STATISTICS

    1.1 OVERVIEW

    1.2 DESCRIPTIVE AND INFERENTIAL STATISTICS

    1.3 VARIABLE AND TYPES OF DATA

    1.4 DATA COLLECTION AND SAMPLING TECHNIQUES

    1.5 OBSERVATIONAL AND EXPERIMENTAL STUDIES

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  • CHAPTER 2 (PART 1): DESCRIPTIVE STATISTICS

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    2.1 DATA ORGANIZATION AND FREQUENCY DISTRIBUTION

    2.2 TYPES OF GRAPH

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  • CHAPTER 2(PART 2): DESCRIPTIVE STATISTICS

    2.3 DATA DESCRIPTION

          2.3.1 Measures of Central Tendency

          2.3.2 Measures of Variation

          2.3,3 Measures of Position 

    2.4 EXPLORATORY DATA ANALYSIS

  • CHAPTER 3(PART 1): PROBABILITY

    3.1 BASIC IDEA AND CONSIDERATION

    3.2 MUTUALLY EXCLUSIVE EVENTS

  • CHAPTER 3(PART 2): PROBABILITY

    3.3 INDEPENDENCE EVENTS

    3.4 CONDITIONAL PROBABILITY

           3.4.1 Bayes' Theorem

    3.5 COUNTING RULES AND PROBABILITY

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  • CHAPTER 4(PART 1):DISCRETE PROBABILITY DISTRIBUTIONS

    4.1 DISCRETE RANDOM VARIABLE AND PROBABILITY DISTRIBUTIONS

    4,2 MEAN AND VARIANCE

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  • CHAPTER 4(PART 2): DISCRETE PROBABILITY DISTRIBUTIONS

    4.3 BINOMIAL DISTRIBUTION

    4.4 POISSON DISTRIBUTION

  • CHAPTER 5(PART 1): CONTINUOUS PROBABILITY DISTRIBUTIONS

    5.1 CONTINUOUS RANDOM VARIABLES AND PROBABILITY DENSITY FUNCTION

    5.2 MEAN AND VARIANCE 

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  • CHAPTER 5(PART 2: CONTINUOUS PROBABILITY DISTRIBUTIONS

    5.3 NORMAL DISTRIBUTION

    5.4 THE CENTRAL LIMIT THEOREM

    5.5 NORMAL APPROXIMATION TO BINOMIAL DISTRIBUTION

    5.6 NORMAL APPROXIMATION TO POISSON DISTRIBUTION

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  • CHAPTER 6: CORRELATION AND SIMPLE LINEAR REGRESSION

    6.1 INTRODUCTION

    6,2 LINEAR CORRELATION

    6.3 SIMPLE LINEAR REGRESSION MODEL