SOC 483 Study Guide - Midterm Guide: Statistical Inference, Statistical Power, Analysis Of Variance

• School: Ryerson University
• Department: Sociology
• Course: SOC 483
• Professor: Heather Rollwagen

Document Summary

Review of sampling, univaritate and categorical bivariate: descriptive/inferential distinction, we can describe the sample, help us organize and describe the data collected from a sample or population, we can make inferences about the sample. Categorical independent variables: assumes dv is continuous. 75% decrease in the odds of the outcome. 50% decrease in the odds of the outcome. 25% increase in the odds of the outcome. 50% increase in the odds of the outcome. 100% increase in the odds of the outcome. 2 measures the improvement from the null modelt o the fitted model: in null model the y value is assumed to be the mean, considered pseudo r. 2 value indicates the degree to which the fitted model parameters improve on predictions of the null model. 2: r gives indication on improvement of null model, explaining model fit, if nagelkerle r.