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Week
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Topics covered
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1
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Statistical Inference, Collection of Data, Measures of Location and Variability, Data Description.
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2
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Sample Space, Events, Algebra of Events, Axioms of Probability.
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3
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Conditional Probability, Multiplicative Rule, Independent Events, Bayes’ Rule.
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4
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Random Variables, Discrete and Continuous Distributions.
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5
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Joint Probability Distribution.
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6
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Mean of a Random Variable, Variance and Covariance.
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7
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Linear Combinations of Random Variables.
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8
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Discrete Uniform Distribution, Binomial and Multinomial Distributions.
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9
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Hypergeometric, Geometric, Negative Binomial and Poisson Distributions.
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10
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Continuous Uniform and Normal Distributions.
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11
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Gamma and Exponential Distributions and Applications.
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12
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Other Continuous Distributions.
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13
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Random Sampling.
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14
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Sampling Distributions, Central Limit Theorem.
Last day of classes, Fri., May 13
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