Kosmiski et al. (A-10) conducted a study to examine body fat distributions of men infected and not infected with HIV, taking and not taking protease inhibitors (PI), and having been diagnosed and not diagnosed with lipodystrophy. Lipodystrophy is a syndrome associated with HIV/PI treatment that remains controversial. Generally, it refers to fat accumulation in the abdomen or viscera accompanied by insulin resistance, glucose intolerance, and dyslipidemia. In the study, 14 subjects were taking protease inhibitors and were diagnosed with lipodystrophy, 12 were taking protease inhibitors, but were not diagnosed with lipodystrophy, five were HIV positive, not taking protease inhibitors, nor had diagnosed lypodystrophy, and 43 subjects were HIV negative and not diagnosed with lipodystrophy. Each of the subjects underwent body composition and fat distribution analyses by dual-energy X-ray absorptiometry and computed tomography. Researchers were able to then examine the percent of body fat in the trunk. What is the treatment variable? The response variable? What are the “values”

of the treatment variable? Who are the subjects? What extraneous variables can you think of whose effects would be included in the error term? What was the purpose of including HIV-negative men in the study? Construct an ANOVA table in which you specify the sources of variation and the degrees of freedom for each. The authors reported a computed V.R. of 11.79. What is the p value for the test?