SOC 1500 Lecture Notes - Lecture 4: Chi-Squared Test, Chi-Squared Distribution, Null Hypothesis
12 Oct 2018
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Hypothesis testing with nominal and ordinal variables: chi square. Overview: the logic of hypothesis testing, five step model, bi(cid:448)ariate (cid:894)(cid:862)(cid:272)rossta(cid:271)luation(cid:863)(cid:895) ta(cid:271)les, the basic logic of chi square (2,, perform the chi square test using the five step model, limitations of chi square. Hypothesis testing: designed to detect statistically significant differences, hypothesis testing is significance testing, allows us to use sample data to identify whether a relationship between two variables, or a difference between cases, exists in the population. Is reported at the intersection of row and column marginal. 78 column is your chi square value) fe fo - fe (fo - fe)2 (fo - fe)2 /fe. Are liberals significantly different from conservatives on this variable: the table below reports the relationship between these two variables for a random sample of 78 adult canadians. Performing the chi-square test using the five step model: make assumptions and meet test requirements.
