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Unformatted text preview: Statistics for Economists Lecture 6 Kata Bognar UCLA Special Discrete Distributions Binomial Distribution Hypergeometric Distribution Poisson Distribution Expectations Chebyshevs Inequality Statistics for Economists Lecture 6 Kata Bognar UCLA October 12, 2010 Statistics for Economists Lecture 6 Kata Bognar UCLA Special Discrete Distributions Binomial Distribution Hypergeometric Distribution Poisson Distribution Expectations Chebyshevs Inequality Announcements Practice midterm solutions are online. Formula sheet for the midterm is online. Statistics for Economists Lecture 6 Kata Bognar UCLA Special Discrete Distributions Binomial Distribution Hypergeometric Distribution Poisson Distribution Expectations Chebyshevs Inequality Midterm 1 Announcement The midterm is on Thursday, October 14 at 11:00am in MOORE 100. Photo IDs will checked so please bring your ID . The midterm covers Chapter 1  2.1 and the notes. You will have 70 minutes to answer multiple choice and short questions. The graded midterms will be returned in the TA sessions. No notes or books are permitted in the exam. You may bring a calculator but no cell phones, laptops, etc. is allowed. No own paper is needed. All answers need to be written on the handed out midterm forms. Statistics for Economists Lecture 6 Kata Bognar UCLA Special Discrete Distributions Binomial Distribution Hypergeometric Distribution Poisson Distribution Expectations Chebyshevs Inequality Last Lecture Bayes Theorem Random variables Statistics for Economists Lecture 6 Kata Bognar UCLA Special Discrete Distributions Binomial Distribution Hypergeometric Distribution Poisson Distribution Expectations Chebyshevs Inequality Todays Outline 1 Special discrete distributions 2 Properties of mean and variance 3 Chebyshev inequality 4 Readings: TH, Chapter 2.3, 2.2 Suggested readings: WS, Chapter 5.3  5.4 W, Chapter 5.2  5.4 5 Readings for next class: TH Chapter 2.4 Statistics for Economists Lecture 6 Kata Bognar UCLA Special Discrete Distributions Binomial Distribution Hypergeometric Distribution Poisson Distribution Expectations Chebyshevs Inequality Bernoulli Distribution A Bernoulli trial is an experiment with two possible outcomes: success (1) with probability p failure (0) with probability 1 p . X : number of success in a Bernoulli trial is a random variable with a Bernoulli distribution : X P ( X = x ) 1 p 1 p 1 p is the parameter of a Bernoulli distribution....
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This note was uploaded on 12/28/2010 for the course ECON 41 taught by Professor Guggenberger during the Fall '07 term at UCLA.
 Fall '07
 Guggenberger

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