This statistics assignment delves into hypothesis testing using chi-square tests. The student analyzes categorical data related to gender and cohort, exploring differences in proportions. The assignment includes testing the null and alternative hypotheses, calculating critical values, and drawing conclusions based on the statistical significance. The student also investigates the relationship between perceived stress and social support among different genders, applying chi-square tests to determine if there is a significant effect. Furthermore, the assignment examines bias blind spots across various conditions, utilizing chi-square tests to identify differences in susceptibility. The analysis involves defining categories, addressing issues related to test design and interpretation, and presenting results in a clear and concise manner, along with a bibliography of cited sources.
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