Author:
Sara Gorsuch

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.

Tutorial

__ 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