SOAN 2120 Lecture Notes - Lecture 16: Descriptive Statistics, Analysis Of Variance, Dependent And Independent Variables

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1: before you run any analysis, weight your data using the weight variable in spss. In spss: weight cases weight cases by (select weight variable at the end of the list. Weight ) ok: for categorical variables (gender): analyze descriptive statistics frequencies sex ok, for quantitative variables (income): analyze descriptive statistics . In the table that you create, you can report the categorical variables either in decimal form or in percentages ie 49% or . 49. 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 paramenter estimates continue ok. In the final project you include the spss tables as well as your own. Reporting p-values in tables: one * means p

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