ECON 205-Statistics for Economists II (Spr.2010)
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Frequency Distribution and Relative Frequency Distribution,  Probability and Inference, A Review of Set Notation, A Probabilistic Model for an Experiment: The Discrete Case, Calculating the Probability of an Event: The Sample-Point Method, Tools for Counting Sample Points, Conditional Probability and the Independence of Events, Two Laws of Probability, Calculating the Probability of an Event: The Event-Composition Method, The Law of Total Probability and Bayes' Rule, Numerical Events and Random Variables, Random Sampling, The Probability Distribution for a Discrete Random Variable, The Expected Value of a Random Variable or a Function of a Random Variable, The Binomial Probability Distribution, The Hypergeometric Probability Distribution, The Poisson Probability Distribution, Moments and Moment-Generating Functions, Probability-Generating Functions, Tchebysheff's Theorem, The Probability Distribution for a Continuous Random Variable, Expected Values for Continuous Random Variables, The Uniform Probability Distribution, The Normal Probability Distribution, The Gamma Probability Distribution, The Beta Probability Distribution, Some General Comments, Other Expected Values, Tchebysheff's Theorem, Bivariate and Multivariate Probability Distributions, Marginal and Conditional Probability Distributions, Independent Random Variables, The Expected Value of a Function of Random Variables, Special Theorems, The Covariance of Two Random Variables, The Expected Value and Variance of Linear Functions of Random Variables, The Multinomial Probability Distribution, Conditional Expectations, Finding the Probability Distribution of a Function of Random Variables, The Method of Distribution Functions, The Method of Transformations, The Method of Moment-Generating Functions, Multivariable Transformations Using Jacobians, Order Statistics.

 

  • 3 Credits, ECON 205 - METU Department of Economics, Must Course..

 

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