Lecture 3 2010

# Lecture 3 2010 - I II A B Introduction Statistical and Notational Preliminaries Introduction Elements of Statistical Theory 1 Prerequisites Random

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1 I. Introduction II. Statistical and Notational Preliminaries A. Introduction B. Elements of Statistical Theory 1. Prerequisites: x Random Variables x Distributions: Population vs. Sample x Descriptive Measures x Estimation x Sampling distributions. x Inference: CIs and Hypothesis Testing. Today x Estimation You want a “best guess” about a population parameter , say, μ. How? More details/definitions: Population Parameters : Estimator : Estimate : Sample statistic:

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2 x Sampling Distributions An estimator is a random variable . Explain. Review : What are the formulas for descriptive measures of the following distributions? Population Sample Sampling Distribution (Assume the sampling distribution is normally distributed .) Experiment: Sampling Distribution for samples from population of 2003 MLB ball players. The population was known: Will the sampling distribution be normally distributed for n = 36? Why?
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## This note was uploaded on 12/08/2011 for the course ECON 312 taught by Professor Daniellass during the Winter '10 term at UMass (Amherst).

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Lecture 3 2010 - I II A B Introduction Statistical and Notational Preliminaries Introduction Elements of Statistical Theory 1 Prerequisites Random

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