Econ 210 Winter 2008 Practice Questions Midterm II_1

Econ 210 Winter 2008 Practice Questions Midterm II_1 -...

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Practice Questions II Summary of what we did: Normal Distribution Properties of the ND Calculating Probabilities Z-Transformation Standard Normal Distribution Cumulative Standard normal Critical values Chi-square distribution Random sample i.i.d. Sample Statistics (mean, variance etc.) Outliers Sampling Distribution Sampling distribution of the sample mean Law of large numbers Central Limit Theorem Calculating probabilities for the sample mean Estimator/Estimate Linear estimators Properties of estimators (Bias, consistency, efficiency, mse) Sample mean is BLUE 1. True/False (Don’t forget an explanation) a) Chi-square random variables can be negative. b) The mean of a Chi-square random variable with N degrees of freedom is N. c) You calculate a sample mean of 68. This is a random variable. d) 1 2 3 4 2 x x x x X + + + = is a linear estimator. e)
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This note was uploaded on 09/25/2010 for the course ECON 210 taught by Professor Pavan during the Winter '09 term at Northwestern.

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Econ 210 Winter 2008 Practice Questions Midterm II_1 -...

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