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This poster presents a comprehensive approach to selecting appropriate statistics for evaluating group differences using decision trees in fundamental statistics. It guides users through the process of choosing parametric and nonparametric statistics, including nominal, ordinal, interval, and ratio data considerations. The decision-making framework addresses different scenarios, emphasizing the utility of mean, median, and mode based on the nature of the data. For a deeper understanding, download a copy of this poster from the department website: http://uca.edu/psychology/concept-maps/.
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Decision Trees for Fundamental Statistics To Select a Parametric Statistic to Evaluate Group Differences To Select a Descriptive Statistic Yes Table Nominal or Ordinal No Graph One Interval or Ratio Two No Interval or Ratio More than two Yes Ordinal One Nominal Matched Two Independent Mean Median More than two No Mode Yes Matched One Location relative to the mean Independent Two Standing relative to other scores Two or more Linear One Only two Yes Monotonic Yes No None Two No One Yes No Only one Matched Two Two Yes Independent No No More than two Discrete Continuous To Select a Statistic to Measure the Relationship Between Two Variables To Select a Nonparametric Statistic to Evaluate Group Differences Download a copy of this poster at the department website: http://uca.edu/psychology/concept-maps/
