Categorical variables represent types of data that may be divided into groups. Examples of categorical variables are race, sex, age group, and educational level. Analysis of categorical data generally involves the use of data tables.

Take a look at the table below and provide a brief statistical analysis of any of the data. Be sure that your analysis is different than anything already shared by a classmate. Your responses to your classmate should question their findings. For example, if someone posted that most people have brown eyes, a good response might be " if people with brown hair were left out of this data collection, would this still be the case?" We are looking to help each other develop a deeper understanding of the data. Eye Color Hair Color Blue Green Brown Black Total ----------------------------------------------------- Blonde 2 1 2 1 6 Red 1 1 2 0 4 Brown 1 0 4 2 7 Black 1 0 2 0 3 ----------------------------------------------------- Total 5 2 10 3 20