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Unformatted text preview: Economic Statistics Econ 321 Descriptive statistics: Sample mean n x x n i i = = 1 Sample variance: 1 ) ( 1 2 2-- = = n x x s n i i Sample standard deviation: 2 s s = Sample covariance: 1 ) )( ( 1--- = = n y y x x s i n i i xy Sample correlation coefficient: y x xy s s s r = Coefficient of variation % 100 = x s Weighted mean: = i i i w x w Frequency distributions : Mean: n f x x m k k k = = 1 Variance: 1 ) ( 1 2 2-- = = n f x x s m k k k x Standard deviation: 2 x x s s = Random variables: Discrete: Mean: = = ) ( ) ( x xf x E Variance: - = ) ( ) ( 2 2 x f x Binomial distribution: x n x p p x n x f-- = ) 1 ( ) ( ) 1 ( 2 p np np- = = Formula sheet for Final Exam Continuous: t: 2 2- = = df df t t 2 : df df = = 2 2 2 2 F: ) 4 ( ) 2 ( ) 2 ( 2 2 2 2 2 2--- + =- = d d n d n d d d d F F Sampling distributions : n x E x = = ) ( n p p p p E p ) 1 ( ) (- = = Interval estimation:...
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This note was uploaded on 02/23/2011 for the course ECON 321 taught by Professor Gandhi during the Spring '08 term at Maryland.
- Spring '08