Part A:
From the given frequency table, we can determine the number of students who have a job and are enrolled in at least three courses:
Job and at least three courses: 37
Similarly, we can calculate the number of students who do not have a job and are enrolled in at least three courses:
No job and at least three courses: 9
To find the proportions, we need to divide these counts by the total sample size, which is 150:
Proportion of students with a job and at least three courses: 37/150 = 0.2467 or 24.67%
Proportion of students without a job and at least three courses: 9/150 = 0.06 or 6%
Part B:
The segmented bar graph provides a visual representation of the association between employment status and the number of courses in which students are enrolled among the 150 students in the sample.
The graph shows three categories of courses: Two Courses, Three Courses, and Four Courses. The y-axis represents the percentage of students in each category, ranging from 0% to 100%.
For the students with a job, the graph indicates that the majority of them (80%) are enrolled in either two or three courses, with a smaller proportion (20%) enrolled in four courses.
For the students without a job, the graph reveals that a significant portion (40%) are enrolled in three courses, while the remaining students are evenly distributed between two courses (20%) and four courses (40%).
Overall, the graph suggests a relationship between employment status and the number of courses. Students with a job tend to have a higher proportion enrolled in two or three courses, while those without a job are more evenly distributed across the different course categories, with a slightly higher percentage in three courses.