Stat Project

Age: It is a nominal and a categorical variable. With this variable we are able to get a measurement of how old each undergraduate student is and it strictly applies to them. This variable cannot currently indicate success, but in the future, it may be able to depending on if someone finishes college at an early age. Based off this information of the bar graph, which is skewed to the right, most students we are analyzing are between 18 to 24 meaning they are in their later years of their college career.

ACT (English, Math, Comp): They are all continuous variable. These scores are important to any student, enrolled or incoming, because the ACT is a test that students have to take to gain acceptance and apply for the university. These grades are important when making a final decision. Based in this information, most students did average on the three sections usually receiving a grade between a 20-25, which therefore allows us to decide for incoming students what the average should be to be accepted when regarding their test scores.

GPA: This measure the student’s overall average in their academic career. This variable is continuous and quantitative. The GPA variable does play a role within the success of the students since it reflects on the student’s academic performance. It can show if they do better with every semester (GPA gets higher), whether they may have had a tough semester academically or personally (GPA lowers) or they are just managing school. Most students at the university are able to obtain an average GPA within 3-3.5 range.

Credit: This is dependent on the student’s high school grades; however, they can be inconsistent due to the different class (freshman, sophomore, junior, senior). The credits can be used to help correlate what their college would probably be, their class and grade level overall.

This variable does play a role within college success because it highlights how many credits you have acquired and how many more you need to compete in order to graduate on time.

Type: This is a categorical variable and with a bar graph. The readmit is negligible leaving the new and the transfer to consider. This can help as to how students should be considered when being reviewed for admission. However, this does not determine one’s current or future success as it merely tells us what kind of student they are. This variable does not relate to their academic achievement. From the numerical data, most students are new, but a good amount has transferred in the hopes of something new and better.

Residency: It refers to whether or not the enrolled students live on or off campus. This variable cannot indicate any sort of current success as the data collected only tells us where students reside which does not affect their academic performance. It cannot indicate future success for the same reason.

Sex: This is a categorical variable as well as a nominal variable. Using a pie chart will clearly represent the data. Using sex, it can show how the two genders are faring in their studies. Sex is not able to determine a student’s success because it only helps with analyzing about variable to possibly see at the end if males or females are shown to have more success at school.

Class: This variable is straight forward since in is only four categorize and using a pie chart would keep things very organized. It simply classifies students by (freshman, sophomore, junior, and senior). Class can help show how students are progressing thorough each year combined with their GPA as a measure. Also, this can determine one’s success in the university because it shows at what rate they are academically progressing or if they are possibly struggling, which may set them back.

Major: This variable measure how many students currently have decided their major. Every student can be applied to this variable. This does not apply to new incoming applicant, as they probably do not know what they want to pursue, but for transfer students they may already know what they want. “Major” does indicate college success because there is a credit requirement done through taking pre-requisite classes that will make one eligible for their major. Date can certainly vary, as people tend to change their majors therefore determining that one’s major does not determine future college success.

College: This is a categorical variable and would require either a bar graph or a pie chart. This variable is not as important compared to HSP and GPA, but can still provide insight into the student. This does apply to those currently enrolled. This variable is open to incoming students as they make a choice of what major they want to pursue which determines what college they will be in and can indicate future college success.

HSP: This variable is a quantitative continuous variable, due to its tendency to fluctuate. With HSP the idea would be that the higher the students HSP, then their college GPA would be consistent to their high school GPA, meaning how well they did in high school the equivalent should be the same in college. HSP cannot determine one’s success correctly, but depending on the student, may give a consider how may perform in college. At the same time, a student may have done poorly in high school for various reasons, but that does not mean they cannot do better in college. Most students seemed to be in the 80th – 100th percentile.