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Political Statistics

Final Exam

Test of Statistical Significance Helps you decide whether an observed relationship b/w an IV and a DV exists in the population or whether it could have happened by chance.
Null Hypothesis (H0) States there is no relationship b/w the IV (X) and the DV (Y) in a population. Any relationship that may exist is by random sampling error or chance.
Research/Alternative Hypothesis (H1) State there is a relationship between the two variables (X and Y). Not by chance.
Type I Error Occurs when the researcher concludes there IS a relationship when, in fact, there is not one.
Type II Error Occurs when the researcher infers that there IS NOT a relationship when, in fact, there is one.
Correlation Analysis Produces a 'measure of association'; Known as Pearson's r; Gauges the direction and strength of a relationship b/w two interval-level variables.
Regression Analysis Produces a 'statistic' or 'regression coefficient'; Estimates the size of the effect of the IV on the DV.
Regression Line y = a + b(x)
Multicollinearity Occurs when the IV's are related to each other so strongly that it becomes difficult to estimate the partial effect of each IV on the DV.
Created by: 79800302