# Lecture20 - ECO220Y Lecture 20 Sampling Distribution-...

This preview shows pages 1–5. Sign up to view the full content.

ECO220Y Lecture 20 ampling Distribution imulation Sampling Distribution- Simulation Migiwa Tanaka Reading: Section 9.1 (pages 301 – 303) 1

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Outline eview: Approaches to Obtain Sampling Distribution Review: Approaches to Obtain Sampling Distribution. Simulation Approach Description Example Simulation Error Computer Based Method Application 2
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

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
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.
This is the end of the preview. Sign up to access the rest of the document.

## 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.

### Page1 / 14

Lecture20 - ECO220Y Lecture 20 Sampling Distribution-...

This preview shows document pages 1 - 5. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online