SOC202H1 Lecture Notes - Marginal Distribution, Null Hypothesis, Contingency Table
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Take a spread and condense it into categories of: low , medium , and high . Hypothesis: high levels of work stress correspond with high levels of exhaustion. Null: variables are independent of the population; thus levels of exhaustion have no correlation with work stress in the population. Collapse 5 into 2 or 3 categories for the purpose of cross-classification. The frequency of joint occurrences: observed (joint) frequencies, marginal totals, appropriate percentages of the independent variable. 849 people reported low work stress and low exhaustion. 417: 417 people reported high exhaustion and high work stress. 74. 73%: 74. 73% of people who reported high work stress, also reported high levels of exhaustion. 990: row marginal total 990 people reported low exhaustion. 42. 44%: row marginal percentage 42. 44% of people reported high exhaustion. Build a case against the null that the x and y are independent (chi-square statistic = 0)
