Analyze data quantitatively and develop testable models of that data.
Throughout my academics at Longwood University, Various courses have enabled me to be able to accurately analyzed data quantitatively and draw conclusions based on the data collected. In BIOL 120: Integrative Biology, the foundation of that skill was presented and established with practice via two different experiments. One on Mustard Seeds Growth based on Nutrients Availability and the other on Mustard Seeds Growth based on Water availability. Both of these experiments required quantitative data collection as both measured how much the seeds grew in height. Collecting data quantitatively and drawing the appropriate conclusions required the creation of graphs to display data for each plants growth. These experiments in BIOL 120 allowed me to understand an alternative way to analyze data and make conclusions.
BIOL 120 quantitatively data analysis was foundation when taking my BIOL 496: Internship in Biology. While this is not an actual biology course offered year round to students, it is a required aspect of Longwood’s biology degree requirement to complete an internship and will count as a biology course. In this internship, I studied Prostate Cancer and specifically, two oncoproteins – PTOV1 and HUWE1. All of the data collected during this internship was quantitative and displayed in graphs to show which oncoprotein exhibited expression.
All of these courses have allowed me to feel confident in collecting, analyzing, and forming appropriate and accurate conclusions from data in a quantitative manner which will benefit me in further academic and career goals.