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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