NAME: eyecolorgenderdata.csv TYPE: Survey SIZE: 2068 observations, 14 variables ARTICLE TITLE: Does Eye Color Depend on Gender? It Might Depend on Who or How You Ask. DESCRIPTIVE ABSTRACT: Data on eye color and gender were collected from students enrolled in an introductory statistics course at a large university over a recent four year period. Biologically, eye color and gender are independent traits. However, in the data collected from our students, there is a statistically significant dependence between the two variables. SOURCES: Data were collected as a part of an opening course survey from students enrolled in an introductory statistics course at a large university over a recent four year period. VARIABLE DESCRIPTIONS: Data are comma delimited. Variables used in article are Gender (Female and Male) and Eye Color (Blue, Brown, Green, Hazel, Other). Other variables included in data set are: Age (in years); YearinSchool (First, Second, Third, Fourth, Other); Height (in inches); Miles (distance from home town of student to Ames, IA); Brothers (number of brothers); Sisters (number of sisters); CompTime (number of hours spent on computer per week); Exercise (whether the student exercises Yes or No); ExerTime (number of hours spent exercising per week); MusicCDs (number of music CDs student owns); PlayGames (number of hours spent playing games per week); WatchTV (number of hours spent watching TV per week). STORY BEHIND THE DATA: In order to increase student interest and to obtain real data for use in the introductory statistics course, student level data, including eye color and gender, were collected as a part of an opening course survey. Biologically, gender and eye color are independent traits. However, in this population, the two variables are statistically dependent. PEDAGOGICAL NOTES: If treated as a representative sample from a larger population, this data set can be used to illustrate concepts such as conditional distributions, populations, samples and sampling variability, and tests of independence. Alternatively, considering the data as the population of interest, this example can be used to illustrate probability rules based on selecting a student at random from the population. SUBMITTED BY: Amy G. Froelich Department of Statistics Iowa State University 3109 Snedecor Hall Ames, IA 50011-1210 amyf@iastate.edu W. Robert Stephenson Department of Statistics Iowa State University 3111 Snedecor Hall Ames, IA 50011-1210 wrstephe@iastate.edu