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Sections 2.1 - 2.2 Variable- Response that varies from unit to unit Variable(s) of Interest- The specific characteristic(s) of interest in a study ° What question do I ask the people (or items) in my study? Univariate Data Set- A data set consisting of observations on a single variable or characteristic Bivariate Data Set- A data set consisting of pairs of observations on two variables Multivariate Data Set- A data set consisting of observations on 2 or more variables Categorical or Qualitative Data- eye color, type of car, political affiliation, employment status... Numerical or Quantitative Data- height, weight, number of customers, blood alcohol level . . Discrete- Quantitative data for which non-integer values DO NOT make sense Continuous- Quantitative data for which non-integer values DO make sense Examples of Discrete vs. Continuous Data- » Discrete- ° # siblings, # classes registered for, # speeding tickets, # bus rides/week « Continuous- ° Height, weight, length, blood alcohol level, speed, time, salary Variable Type- ° Is the research question answered with a category or a number? ° Tf answered with a number, do non-integer values make sense? Stem-and-Leaf Display- © Select one or more leading digits for the stem values. The trailing digit or digits become the leaves. © List possible stem values in a vertical column e Record the leaf for every observation beside the corresponding stem value. ¢ Indicate the units for stems and leaves someplace in the display. Curt Storlie ST301 2.1 and 2.2 Handout.doc 8/20/01 1 
