SOC 4030 Lecture Notes - Lecture 7: Chi-Squared Distribution, Contingency Table, Descriptive Statistics
2 Oct 2018
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Bi-variate data analysis with spss + multi-variate data (three variables) Descriptive -> cross tab -> gender (column / independent) -> past 12 months selling drugs (row/ dependent) > percentage - > cell -> column -> statistics -> chi-square -> continue -> ok. Compare relationship between female and males who sell drugs: men more likely to sell than females. 0. 04 p-value = significant at less than . 05 (p < . 05) ** get at 95% of the time. Test given table explain whats going on in the table: testing because you will need to know it for the final assignment, design survey & writeup the survey, mostly technical things. Part 1: ask you to define 7 of 9 terms (all spss commands)- all commands we have talked about, seen on screen worth 3 points (21 points each) 2-3 lines each question know what tabs to click what. Turning data that looks like a survey into a table 10 points.
