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Unformatted text preview: o-Population Proportions test df statistic Z D0 Z-test NO d f
p1 p1 p p2
1 n1 1 n2 D0 Z-test NO d f Z
p1 p2 D p1 1 p1 p2 1 p2 n1 n2 2 p1 1 p1 n1 p2 1 p2 n2 width CI Z 2 p1 1 p1 n1 p2 1 p2 n2 Z p1 p p2 width
n1 p1 n2 p2 n1 n2 p1 p2 width x1 x2 n1 n2 8 Statistical Inference Types of Test Exercises One-Population Mean Two-Population Mean One-Population Variance Two-Population Variances More-than-two-Population Means Dependent Samples
The samples are dependent, or pair-matched, if you observe two situation for the SAME sample, e.g.,
before and after Case 1 and Case 2 Tire 1 and Tire 2 Otherwise, samples are independent
test df statistic width CI X1
9 t-test df t
X2 SD 2
2 nD SD n1 t X2 width Statistical Inference Types of Test Exercises One-Population Mean Two-Population Mean One-Population Variance Two-Population Variances More-than-two-Population Means
Variance is equivalent to variability volatility ﬂuctuation risk inequality
test df statistic width CI df
2 2 test n df
2 2 NO width (distribution is not symmetric) df
2 2 df S2
2 1 2 Remark 2 2 d f and 2 1 2 df 10 Statistical Inference Types of Test Exercises On...
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This note was uploaded on 02/14/2011 for the course ECON 203 taught by Professor Petry during the Spring '09 term at University of Illinois, Urbana Champaign.
- Spring '09