Start by constructing a table of your data, including only a few variables. Go to the 'BIAS ANALYSIS' tab in the "examples" worksheet.
Fill in the data as shown below:
Note that you will need to add two variables after SEX: ETHNICITY and SELF-ATTRACT. Code your data exactly as described in this table.
When all of the data is entered, ignore the "SUMMARY TABLE" and move on to the "ABRIDGED TABLE".
Calculate the percent observed for males and females and enter them in the "% OBSERVED" column.
Based upon the Spring 1998 Official Enrollment Report the "% EXPECTED" for the SEX variable is:
SEX:
Males: 0.4237
Females: 0.5763
Enter these numbers in the "% EXPECTED" column. Now create a fourth column and name it "Difference". Enter a formula calculating the difference between the % observed and the % expected columns in the "Difference" column. Your "ABRIDGED TABLE" should now look something like this:
(note: your values for "% observed" and "difference" will differ somewhat from those shown above.)
Now create three more ABRIDGED TABLES just like the one for SEX. Make one for AGE, one for ETHNICITY, and one for SELF-ASSESSED PHYSICAL ATTRACTIVENESS. The percent expected values are as follows:
AGE:
The average age of UNM students is 29.
ETHNICITY:
Native American: 0.047
African American: 0.023
Asian American: 0.03
Hispanic: 0.243
Anglo: 0.6
Self-Assessed Physical Attractiveness:
Average Self-Assessed Physical Attractiveness for UNM students is 3.
Answer the following questions:
1)Are there more females in your survey than expected?
2) Select any two ethnicities and decribe whether or not there are more than expected.
3) Do people think they are more attractive in your sample than in the population as a whole?
4) How does the age of your sample compare to the expected age?
Print your results and hand them in.