Analyzing and Interpreting Statistical Data

For this project, a sample population of 44 undergraduate business students from Northeastern University was chosen. The quantitative variables that I have chosen are study time per week (hours), Internet time per day (hours), and age. For the qualitative variables, I chose gender, whether the students were born in the U.S or not, and whether they use the NU gym facility or not.

Graph Descriptions

Based on the graphs that were generated for each variable, we will be able to get a general view of the statistics based on the sample population. If we look at Exhibit 1, which presents the data for gender, we will be able to see that majority of the sample population (around 63.6%) is male.

For this project, a sample population of 44 undergraduate business students from Northeastern University was chosen. The quantitative variables that I have chosen are study time per week (hours), Internet time per day (hours), and age. For the qualitative variables, I chose gender, whether the students were born in the U.S or not, and whether they use the NU gym facility or not.

Graph Descriptions

Based on the graphs that were generated for each variable, we will be able to get a general view of the statistics based on the sample population. If we look at Exhibit 1, which presents the data for gender, we will be able to see that majority of the sample population (around 63.6%) is male. For this project, a sample population of 44 undergraduate business students from Northeastern University was chosen. The quantitative variables that I have chosen are study time per week (hours), Internet time per day (hours), and age. For the qualitative variables, I chose gender, whether the students were born in the U.S or not, and whether they use the NU gym facility or not.

Graph Descriptions

Based on the graphs that were generated for each variable, we will be able to get a general view of the statistics based on the sample population. If we look at Exhibit 1, which presents the data for gender, we will be able to see that majority of the sample population (around 63.6%) is male. For this project, a sample population of 44 undergraduate business students from Northeastern University was chosen. The quantitative variables that I have chosen are study time per week (hours), Internet time per day (hours), and age. For the qualitative variables, I chose gender, whether the students were born in the U.S or not, and whether they use the NU gym facility or not.

Graph Descriptions

Based on the graphs that were generated for each variable, we will be able to get a general view of the statistics based on the sample population. If we look at Exhibit 1, which presents the data for gender, we will be able to see that majority of the sample population (around 63.6%) is male.