You are now at the Chapter 7 section of the book's student Web site.
Here you can
Review and improve your understanding of the material  Quiz yourself  Apply this information  Get help 

See how most of the key terms are connected by looking at this concept map.
To review the key concepts involved in describing and making inferences about a single variable, study this concept map. Understand Chapter 7's rules and slogans. Enjoy a fun review of the basics of correlational evidence by reading this murder mystery. 
Test yourself on key terms with flashcards

Participate in a descriptive study: Get a better sense of what
descriptive research is like by participating in research that uses a descriptive method. Compute correlation coefficients using our correlation calculator or using another statistical calculator. 
Help with answering the endofchapter exercises. 
Play a game that will help you learn how to estimate a correlation coefficient from a graph. Visualize what different correlations mean by typing in different correlation coefficients on the line next to "Correlation" (and then pressing "enter') in this interactive demo. You can also drag points on the line to see what effect moving them has on the correlation coefficient. 
Take some practice quizzes
Take a short, general quiz over the entire chapter.

Do some archival research on the web using the following links.


Use this tool to interpret positive, negative, and zero correlations.
Be sure you understand correlation coefficients by downloading "The Correlator"


Further review the material by reading the
chapter summary. A helpful picture that will help you avoid confusing correlation with causation. Another reminder that correlation is different from causation: It is not certain that a country's chocolate consumption increases its number of Nobel Prize winners or that listening to heavy metal bands increases happiness. Before taking a quiz or test over Chapter 7, be sure you can answer these review questions. 
Review by

Look at "Cracked" to see two important ways that data can fool us: illusory correlation and mistaking correlation for causation. The article is titled "5 Ways Statistics Are Used to Lie to You Everyday"Scroll down to get to problems 1 and 2. 