SOC202H1 Lecture Notes - Chi-Squared Distribution, Null Hypothesis, Dependent And Independent Variables
Document Summary
Announcements: tutorial q and a cancelled because of lack of attendance, students can go meet one-on-one instead. Exhaustion: how often during the past month have you felt used up at the end of the day, context: face-to-face interviews. How can we turn this interval variable to into a continuous variable: change the categories into days. How to turn interval variable into a nominal variable. Example: how often do you feel exhausted: categories: low, high. Hypothesis: as level of work stress increase, there will be higher level of exhaustion. Null: work stress has no impact to do with exhaustion. The categories of hardly ever and always are taken to. Chi-square test: example 1: the relationship between tow nominal/categorical variables, cross-tabulation table of the frequency of join occurrences; observed frequencies; marginal totals and appropriate percentages. If independent the levels of exhaustion would be the same regardless of the amount of work stress.