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Unformatted text preview: 2. The distributions of some estimators become normal in shape as the sample size gets larger and larger CENTRAL LIMIT THEOREM 3. The STANDARD Normal Distribution – formed (found) by subtracting the mean from a normally distributed random variable and dividing by its standard deviation. a. Example: b. The “i th” element from a random sample given a normally distributed parent population, then: Under what conditions is (Xbar) distributed normally: 1. If the parent population is distributed normally 2. CENTRAL LIMIT THEOREM – If the sample size WHAT IS THIS? 3. The ChiSquare Distribution ( )– A distribution formed by squaring individual independent standard normal random variables and forming their sum a. This is spawned from the normal distribution (sort of) Q: How can we tell (see directly above)? ANSWER: PROVE IT Rewrite until we see the chisquare form...
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This note was uploaded on 06/03/2009 for the course ECON 203 taught by Professor Casler during the Spring '09 term at Allegheny.
 Spring '09
 Casler

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