1.21 Three professors at Northern Kentucky University

compared two different approaches to teaching courses in
the school of business (M. W. Ford, D. W. Kent, and S.
Devoto, “Learning from the Pros: Influence of Web-Based
Expert Commentary on Vicarious Learning about Financial
Markets,” Decision Sciences Journal of Innovative
Education, January 2007, 5(1), 43–63). At the time of the
study, there were 2,100 students in the business school and
96 students were involved in the study. Demographic data
collected on these 96 students included class (freshman,
sophomore, junior, senior), age, gender, and major.
a. Describe the population of interest.
b. Describe the sample that was collected.
c. For each of the four demographic variables mentioned
above, indicate if they are categorical or numerical.

a. The population of interest in this study is all the students in the business school at Northern Kentucky University. This includes all 2,100 students in the school.

b. The sample that was collected for this study includes only 96 students from the business school. These 96 students were involved in the study and were chosen as a representative subset of the larger population.

c. The demographic variables mentioned can be categorized as follows:
- Class (freshman, sophomore, junior, senior): This is a categorical variable as it represents different categories or groups of students based on their class level.
- Age: This is a numerical variable as it represents a quantitative measurement of the students' ages in years.
- Gender: This is a categorical variable as it represents different categories or groups of students based on their gender.
- Major: This is a categorical variable as it represents different categories or groups of students based on their chosen major.