SOAN 2120 Lecture Notes - Lecture 7: Descriptive Statistics, Null Hypothesis, Participant Observation

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In your project you will be required to include tables. Table: bivariate statistics (i. e. , cross-tabs, comparing means, or correlations) Descriptive statistics= gender and income (before running any analyses, weight your data using the weight variable spss) In spss: data-> weight cases ->weight vases by (and then select the weight variable at the end of the list weight -> click ok. Interpret your results in the mean category, in the spss data editor go to the variable view- > find the variable (dvr47gr1) and click on values. This will give you a list of correspondence between the coded values and actual earnings. Thus, the mean (category) corresponds with ,000-24,999 (note: the analysis includes those without any income-category 0) 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.

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