SOAN 2120 Lecture Notes - Lecture 16: General Linear Model, Descriptive Statistics, Statistical Significance

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Before you run any analyses, weight your data using the weight variable in spss. Data weight cases weight cases by (selected the weight variable at the end of. Analyze descriptive statistics descriptives dvr47gr1 statistics click mean ok. Analyze descriptive statistics frequencies sex ok. 1454 is the higher value do not put this. Statistical analysis: one quantitative variable and one categorical variable, comparing means (anova) *** in spss: analyze general linear model univariate dependent variable: dvr47gr1 fixed factor: dvsex options click parameter estimates continue. This gives you the sample size the end value that you are going to put at the top of your table. Make sure your tables are structured the same way. Intercept applies to both male and females in addition to that who ever is in category one they get 3. 225 but if they are in two they get nothing. Bottom left and corner is what gives us the translating results.

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