Statistical Research

The summer research consisted of two parts, the first part was an introduction to the basics of statistics and the second part consisted of research, applying statistical knowledge that was acquired through the first period of the internship. My group consisted out of three people and because of our group size and our above-expected understanding level of the subject, we were granted two projects instead of the initially planned one.

One of the projects focused on the analysis of pH level data of neural tissues of people diagnosed with Schizophrenia. R programming language was used for the analysis, with the Logiststical Regression model. We found certain sex-specific trends in diagnosing one with Schizophrenia. The poster on this project can be found here.

The second project focused on the analysis of the neural response of primates on the spatial input triggers. The primary method for this analysis was Bootstrapping. The neuronal data sets were given to us by our advisor, Dr. Valerie Poynor. The poster on this project can be found here.

Both these projects involved using a statistical programming language called R. After the projects were finished, we presented both of them at a STEM conference at Fullerton at the end of Summer 2018.

Advisers:

Dr. Valerie Poynor: vpoynor@fullerton.edu

Dr. Jessica Jayness: jjaynes@fullerton.edu