What do you need to look for in bivariate screening (for each combination of categorical and quantitative variables)?
Answer to relevant QuestionsWhat potential problems should you look for in the univariate distributions of categorical and quantitative scores? A test of Emotional Intelligence (EI) was given to 241 women and 89 men. The results were as follows: for women, M = 96.62, SD = 10.34; for men, M = 89.33, SD = 11.61. Was this difference statistically significant (α = .05, ...If there is an overall significant F in a one way ANOVA, can we conclude that the group membership or treatment variable caused the observed differences in the group means? Why or why not? What information do you need, and what do you do, to decide on a sample size that will provide adequate statistical power? Are there ever any circumstances when a correlation such as Pearson r can be interpreted as evidence for a causal connection between two variables? If yes, what circumstances?
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