CHAPRER 1: DESCRIPTIVE STATISTICS
Lesson 1: introduction to statistics, definition of terms and types of data
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Lesson 2: representation of grouped data, Class limits and class boundaries
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Lesson 3: Representation of data using frequency diagrams:
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Lesson 4: Measures of central tendency
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Lesson 5: Quartiles
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Lesson 6: Percentiles
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Lesson 7: Variance
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CHAPTER 2: CORRELATION
Lesson 1: Introduction to correlation and scatter diagrams
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Lesson 2: The Rank correlation coefficient
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CHAPTER 3: ELEMENTARY PROBABILITY
Lesson 1: Introduction and definition of terms
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Lesson 2: Probability Laws and Notations in relation to set theory
Lesson 3: Probability Situations
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Lesson 4: The conditional Probability
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Lesson 5: Probability tree diagrams
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CHAPTER 4 : DISCRETE RANDOM VARIABLE
Lesson 1: introduction and discrete probability distributions
Lesson 2: Expectation of a discrete random variable, E(X)
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Lesson 3: Properties of the expectation, E(X)
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Lesson 4: Standard deviation of a discrete random variable
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CHAPTER 5: BINOMIAL PROBABILTY DISTRIBUTION
Lesson 1: Concept of a binomial distribution, properties of binomial distribution
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Lesson 2: Mean, variance and standard deviation of binomial distributions
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CHAPTER 6: CONTINUOUS RANDOM VARIABLES
Lesson 1: Introduction, continuous probability density functions
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CHAPTER 7: NORMAL DISTRIBUTION
Lesson 1: Concept of normal distribution
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Lesson 2: Calculating probabilities using the Normal Distribution
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