Chi-square: Race and education
In this activity, you will be performing a chi-square test on data from the U.S. Census Bureau. In the forms that people returned to the census bureau, they were asked, among other things, to give their race and the highest level of education that they had completed. Using our DIG Stats Online Chi-Squared Calculator to perform a Chi-Squared test on a contingency table relating these two variables, we can determine whether there is a relationship in America between a person's race and their level of education.
In the survey that the Census Bureau sent out, the respondents could classify themselves as white, black, Native American/Alaskan Native, or Asian/Pacific. Since we have these four predefined categories, we'll place the race variable across the rows and have four rows in the contingency table.
In addition, the respondents filled in their highest level of education. Responses were categorized into eight different ranges from first grade through doctorate degrees. Each of these categories will be a column in the contingency table, giving us a four by eight (4x8) table.
Using the data set in Excel, run a Chi-Squared test on a contigency table. You'll need to use the DIG Stats Online Chi-Squared Calculator; to use it just download either format, open the calculator, and enter the data by hand.
1. What are the values of the Chi-Squared and alpha statistics?
Original work on this document was done by Central Virginia Governor's School students Richard Barnes, Kim Tibbs, and Ryan Nash (Class of '00).
Copyright © 2011 Central Virginia Governor's School for Science and Technology, Lynchburg, VA