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Estimators - Probability and Statistics - Lecture Notes | ECON 209, Study notes of Probability and Statistics

Material Type: Notes; Class: Probability and Statistics; Subject: Economics; University: Vassar College; Term: Unknown 1989;

Typology: Study notes

Pre 2010

Uploaded on 08/19/2009

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Econ 209 Estimators
Parameter Estimator Mean of Variance of Estimated
estimated Estimator Estimator Variance
Comparing two populations: Independent Samples
Which distribution to Use: Normal or t (Rules of Thumb)
Case I: Population Normal
Case II Population Non-normal
Case III Proportions
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Econ 209 Estimators

Parameter Estimator Mean of Variance of Estimated estimated Estimator Estimator Variance

Comparing two populations: Independent Samples

Which distribution to Use: Normal or t (Rules of Thumb)

Case I: Population Normal

Case II Population Non-normal

Case III Proportions

Differences in Means :Variances Unknown When testing hypotheses or finding confidence intervals involving differences in means there are two distinct cases to consider:

  1. Variances unknown but assumed equal

where

  1. Variances unknown but not assumed equal

with degrees of freedom given by the following expression:

This is a messy expression to use. For the purposes of this course you should assume that degrees of freedom is equal to n 1 + n 2 - 2.