Lecture20 - ECO220Y Lecture 20 Sampling Distribution-...

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ECO220Y Lecture 20 ampling Distribution imulation Sampling Distribution- Simulation Migiwa Tanaka Reading: Section 9.1 (pages 301 – 303) 1
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Outline eview: Approaches to Obtain Sampling Distribution Review: Approaches to Obtain Sampling Distribution. Simulation Approach Description Example Simulation Error Computer Based Method Application 2
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Sampling Distribution here are two ways to obtain sampling distribution: There are two ways to obtain sampling distribution: Analytical Approach (Lecture 17) l ti A h Simulation Approach While analytical approach yields accurate sampling distribution, it is difficult to implement in many situations. Examples? With simulation approach, you generate many sets of random samples from a single population. The frequency pg p p q y distribution of the sample statistic of the simulated mples is the distribution of the interest. samples is the distribution of the interest. 3
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Simulation Approach ow do you draw many random samples? How do you draw many random samples? Example. Rolling a fair die. First fix sample size n , statistic of interest, and number of simulation, m . Draw 1: Roll a die n times. Calculate the statistic and record the result.
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This note was uploaded on 03/01/2011 for the course ECON 220 taught by Professor Tanaka during the Spring '11 term at University of Toronto- Toronto.

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Lecture20 - ECO220Y Lecture 20 Sampling Distribution-...

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