FINAL REVIEW SOAN 3120

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Department
Sociology and Anthropology
Course
SOAN 3120
Professor
Michelle Dumas
Semester
Fall

Description
FINAL REVIEW SOAN 3120 Part 1: • Know how to describe data • Quantitative variables: mean, median, standard deviation, distribution • Categorical variables • Graphical representation • Pie charts, bar graphs • Histograms • Scatterplots • Tables (contingency): percentage in the direction of explanatory variable • ­ describe: more or less likely (who is more often have a yes or no) • identify explanatory variables (independent) and response (dependent) variables ­ you will need for all analysis ­ there are not may variables in the dataset ­ one response in two; two in one  ­ once you define your reposne variable almost all others will be explanatory Part 2: • Sampling • ­ Identify population and sampling • ­ Recognize bias • Experiments • ­Recognize bias • ­ Randomization in experiements • ­Experimental design • Confidence intervals • ­ Calculations • ­Interpretation • ­May have to do hand calculations instead • Hypothesis testing • ­Stating Ho and Ha • ­Provide test statistic, p­value, df(if relevant) • ­Assess statistical significance at a level (0.05) • ­Conclusion with Ho and interpretation • Four step process: state, plan, solve, conclude  Part 3: • Significance test • Chi­square • ­ Relationship between two variables • ­Check condition • ANOVA • ­ Test of two or more means • ­Categorical (explanatory) and quantitative (response) • ­Check variance (standard deviation
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