This learning packet reviews new terms and definitions, how to work with bivariate data in the following situations:
+One qualitative variable and one quantitative variable,
+Two quantitative variables
+Two qualitative variables
We give examples of each situation in separate power points and explain exactly what bivariate data is.
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Bivariate Data: Two different response variables that are from the same population.
Qualitative Variable: A variable whose values are not numerical. Examples include gender (male, female), paint colour (red, black, blue), type of bird (cardinal, blue bird, owl) and etc.
Quantitative Variable: A variable whose values are numerical. Examples include height, temperature, weight, grades and etc.
Contingency Table: Show how individuals are distributed along each variable contingent on the value of the other variables.
Scatter Plot: Is a simple display, places a dot along the axis for every case in the data.
To get information on a box and whisker plot look at this packet: http://sophia.org/packets/418