ec41lecture9_handout-2

ec41lecture9_handout-2 - Statistics for Economists Lecture...

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Statistics for Economists Lecture 9 Kata Bognar UCLA Continuous Random Variables Normal Distribution Standard Normal Distribution Statistics for Economists Lecture 9 Kata Bognar UCLA April 27, 2010
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Statistics for Economists Lecture 9 Kata Bognar UCLA Continuous Random Variables Normal Distribution Standard Normal Distribution Announcements Midterm grade distribution. Homework 3 will be posted this afternoon, due on May 6.
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Statistics for Economists Lecture 9 Kata Bognar UCLA Continuous Random Variables Normal Distribution Standard Normal Distribution Last Lecture Binomial distribution
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Statistics for Economists Lecture 9 Kata Bognar UCLA Continuous Random Variables Normal Distribution Standard Normal Distribution Today’s Outline 1 Continuous random variables 2 Normal distribution 3 Standard normal distribution 4 Normal approximation of a binomial distribution 5 Readings: Weiss, Chapter 6.1-6.3, 6.5 6 Readings for next class: Weiss, Chapter 7.1-7.3
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Statistics for Economists Lecture 9 Kata Bognar UCLA Continuous Random Variables Normal Distribution Standard Normal Distribution Using the Binomial Table
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Statistics for Economists Lecture 9 Kata Bognar UCLA Continuous Random Variables Normal Distribution Standard Normal Distribution Binomial Probability Histograms Histograms if n = 6 .
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Statistics for Economists Lecture 9 Kata Bognar UCLA Continuous Random Variables Normal Distribution Standard Normal Distribution Random Sampling and the Binomial Distribution p proportion of the elements in a population have a specific characteristic. X is the number of elements in a random sample of size n with the specific characteristic. If the sampling is with replacement then X follows a binomial distribution with parameters n and p . If the sampling is without replacement then X does not follow a binomial distribution. If the sample size is less than 5% of the population size then X is approximately binomial.
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Statistics for Economists Lecture 9 Kata Bognar UCLA Continuous Random Variables Normal Distribution Standard Normal Distribution Strange Facts About Continuous Random Variables A continuous random variable X can assume continuum number of possible values from one or more intervals. The probability that a continuous random variable assumes a
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This note was uploaded on 05/31/2010 for the course ECON 41 taught by Professor Guggenberger during the Spring '07 term at UCLA.

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ec41lecture9_handout-2 - Statistics for Economists Lecture...

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