Question: A recent research study analyzed a sample of 200 individuals from government agencies throughout the United States. The participants were randomly sampled evenly from 2
A recent research study analyzed a sample of 200 individuals from government agencies throughout the United States. The participants were randomly sampled evenly from 2 major types of roles in the government (bureaucratic and physical labor). They were assessed on a variety of personality and demographic scales: Gender (male, female, nonbinary), advancement level (worker, management, c-level), personal income, psychoticism (10-100), extraversion (10-100), neuroticism (10-100), socioeconomic status (low, middle, high), and self-esteem (5-67). The researchers wanted to examine the magnitude of the mean differences in income between individuals of different genders depending on the types of government roles they participated in. Which is the most specific inferential statistic that they should use to address this hypothesis? a. Power Analysis b. Chi Square Test c. t-test d. one-tailed t-test e. two-tailed t-test f. ANOVA g. Cohen's d h. Pearson Correlation i. Multiple Regression j. Structural Equation Modeling
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