Teach you the basics of bivariate data and some things that accompany it
This packet goes over bivariate data, with different examples and combinations of quantitative and qualitative data, as well as introduces you to contingency tables and scatterplots, with a scatterplot example at the end.
Bivariate: fancy word for 2 variables. Chances are, you've already worked with bivariate equations in algebra when you have equations like y=2x. X and Y are your 2 variables
Contingency Table: Records the data of 2 or more categorical values. Examples below to make it easier
Relative Frequency: the frequency (how often an outcome occurs) in relation to the total number of outcomes. For example, if you pull 3 red marbles out of a bag of 10 total, then the relative frequency is 3/10
Scatter plot: much like a dot plot, except it's 2-D, so you use the x- and y-axis. Much like plotting a line in algebra, except you don't connect the points and they don't necessarily have to be in a straight line. Oftentimes, they aren't straight. More examples below
Try your hand at making a scatterplot and table with the data provided. Answer on second and fourth pages. Graph created on http://www.mathcracker.com/scatter_plot.php which is why the x-axis starts at 4 instead of 0.
Visit this site for more looks at scatter plots: http://www.purplemath.com/modules/scattreg.htm