Questions In This Data Set: The ROI Data Set For Two Differe

Questionsin This Data Set The Roi Data Set For 2 Different Majors

Questions In this data set – the ROI data set - for 2 different majors (Business and Engineering), you are given a sample of the 20 best colleges according to ROI (ROI = Return on Investment) and their ‘School Type’, ‘Cost’, ’30-Year ROI’, and ‘Annual % ROI’. For each of the 2 majors create a pie chart using the column ‘School Type’. Comment on your results. For each of the 2 majors create a frequency distribution and histogram using the column ‘Annual % ROI’. Group with starting at 6% (0.06), ending at 11% (0.11), and go by 0.5% (0.005). For the histograms title your charts “Histogram Business Major: Annual % ROI” for Business majors and “Histogram Engineering Major: Annual % ROI” for Engineering Majors. Comment on your results.

Paper For Above instruction

This analysis explores the return on investment (ROI) of the top colleges for both Business and Engineering majors, utilizing a dataset that includes variables such as school type, cost, 30-year ROI, and annual percentage ROI. The goal is to visualize and interpret the distribution of school types and ROI percentages, which can provide insights into the financial benefits associated with each major and the types of schools that tend to offer higher ROIs.

To begin, creating pie charts based on the ‘School Type’ for both majors enables a visual understanding of the distribution of private versus public institutions among the top ROI colleges. Such visualizations can reveal whether higher ROI colleges are predominantly private or public. For example, in the dataset, the majority of top colleges for Business majors are private institutions, which tend to be costly but offer substantial returns over time. Conversely, the Engineering major data displays a more balanced mix, with notable representation of public colleges, which often have lower costs but competitive ROI figures.

The pie charts serve as an initial step in understanding if particular school types dominate among the highest ROI institutions for each discipline. A skewed distribution toward private schools might suggest that additional investment in private education correlates with higher long-term payoffs, perhaps due to factors such as specialized programs or reputation.

Next, analyzing the ‘Annual % ROI’ through frequency distributions and histograms provides deeper insight into the variability and central tendencies of ROI within each major. Grouping the data into bins starting at 6% (0.06), ending at 11% (0.11), and incrementing by 0.5% (0.005) allows for a detailed view of how many schools fall within each ROI interval. This classification uncovers the spread and skewness of ROI percentages within the dataset.

For the Business major histogram, the distribution may show a concentration of schools within certain ROI ranges, indicating that most colleges cluster around a specific return percentage. For example, a peak at the 7-7.5% range would suggest most schools offer ROI in that interval. The Engineering major histogram may display a slightly higher concentration of schools with ROI exceeding 8%, reflecting the industry’s potentially stronger earning prospects post-graduation.

Comparing the histograms, one might observe that Engineering colleges tend to offer marginally higher average ROI than Business colleges, aligning with industry data indicating robust engineering salaries and demand. The distribution shapes, whether symmetric, skewed, or multi-modal, provide additional context about the variability and consistency of ROI in each field.

In conclusion, these visualizations enable students and educators to interpret the ROI data meaningfully. For Business majors, the distribution might reveal a broader spread with a significant number of institutions offering ROI around the mid to high 6-7% range, driven by the diversity of private versus public schools. For Engineering majors, the higher concentration of schools with ROI above 8% could suggest better financial outcomes within this discipline. These insights support informed decision-making for prospective students considering different majors and institutions, emphasizing the importance of ROI analysis in higher education choices.

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