Student Research
Students in the Misericordia Statistics Program are constantly getting hands-on experience with applied statistics and research, building a strong foundation of applied skills that will help them excel in their future careers. Additionally, our program is designed to give students room to pursue their own projects, allowing our students to explore and apply their skills in areas they find interesting.
Our courses involve a series of applied projects that intertwine the classroom and the community.
MU Statistics Class Projects
In one class, students participated in a project involving a community partner: the local YMCA! Misericordia students in Statistics 428 – Non-Parametric Statistics, taught by Assistant Professor Michael Floren, Ph.D., analyzed the demographics of the Y’s membership in a variety of categories so to determine if there were any particular geographic pockets of membership to help ensure that grant monies and scholarships for programs, such as child-care, were serving clients equally throughout the service area.
Click here to read the article as featured in the Times Leader.
Student Research Day 2020
Sarah Netchert
Predicting Diabetes Diagnoses
Author: Sarah Netchert
This study explored the traits and health state of African Americans in central Virginia in order to determine what traits put people at a higher probability of being diagnosed with diabetes. We also want to know which traits will generate the highest probability a person will be diagnosed with diabetes. The goal of the results it to bring attention to the traits that adults need to be aware of to keep themselves healthy.
Sarah Bender
Impact of Adverse Childhood Experiences (ACE) for Individuals After Adolescent Years
Author: Sarah Bender
A child who faces adverse childhood experiences (ACE) will often find a dangerous road ahead. They overcome changes in their lifestyle and deal with various challenges. The wellbeing and health of children can impact their lives during adulthood as the harsh effects of neglect and abuse appear in different ways. This study considers different linear models used to examine the three large categories of ACE using logistic regression. Results are presented. Conclusions and future implications are discussed.
Collin Stivala
Does Bread Dough Rise More Based on Flour Type and Temperature?
Author: Collin Stivala
When bakers finish making bread dough, the dough rises, ultimately leading to how “fluffy” the bread is after it comes out of the oven. The amount the dough rises can vary based on which type of flour is used, and also the temperature of the environment the dough is in. For this experiment, I tested three different flours (Wheat, Bleached, and Unbleached) and three different temperatures (40 degrees Fahrenheit, 65 degrees Fahrenheit, and 90 degrees Fahrenheit) to see if Flour type and temperature have a large affect on the rise of dough. Results are presented, and conclusions are discussed.
Cade Corcoran
Do Liquids Boil at Different Rates?
Author: Cade Corcoran
This experiment was done as my final project for my Design of Experiments class at Misericordia University. I took three liquids, water, milk, and orange juice then measured the time it took for them to boil in three different size pots. I was testing to see if there was a significant interaction between the Liquid and Pot size factors. After conducting the experiment, the results show that there was a statistically significant interaction effect between the factors.
Heather Harvey
Bootstrap: Simulating the Cure
Author: Heather Harvey
The final project in STA 486, is to create a poster on an analysis done on a real life data set. This poster is describing a simulated bootstrap done on a data set about the band The Cure. It shows a 95% confidence interval on the effect that a songs danceability, liveness, and energy have on its popularity.
Taylor Price
NBA Rookie Career Projections
Author: Taylor Price
NBA player longevity is an important consideration when a team is making a draft pick. This study sought to determine the predictive probability a rookie will reach the target of playing for at least 5
years in the NBA, based on the variables Field Goal Percentage and Games Played. Results are presented, and conclusions are discussed.
Dani Clifford
The Effect of The Amount of Water and Water Exposure Time on the Absorbency of Sponges
Author: Dani Clifford
Given the current global pandemic, now more than ever it is important to understand what factors lead to the best absorbency in a sponge as to stop the spread of bacteria and germs. The purpose of the experiment will be to determine the effect of the amount of time (15 seconds, 30 seconds, 45 seconds, 60 seconds, 75 seconds, and 90 seconds) and the amount of water (24 ounces, 32 ounces, and 40 ounces) on the absorbency of a sponge.
Heather Harvey
That's the Way the Cookie Crumbles
Author: Heather Harvey
During the Spring 2020 semester, I have been undergoing an internship with Alison's Homemade Welsh Cookies. They have allowed me full access to their data, in order to perform an analysis. Using the same records from the 2019 year, each location has been identified on a map and the amounts sold tell which areas had the most and the least sales in 2019.
Dani Clifford
Power Analysis on a Pilot Study of the Caloric Intake of Children Helping Prepare Meals Versus Children Not
Author: Dani Clifford
The purpose of this analysis is to determine the sample size needed for a study that will be used to discover if there is a difference in the caloric intake of children who help with meal preparation and children who do not help with meal preparation.
Sarah Bender
Pilot Study on Female Athletes Age and Position in the FIFA Women's Soccer World Cup Using Power Analysis
Author: Sarah Bender
The purpose of the analysis is to use this FIFA Women’s soccer pilot study to determine the smallest sample size of players needed for a future study. Results and conclusions are discussed.
Soumyadip Acharyya
Does Water Boil Faster with Salt?
Author: Soumyadip Acharyya
Whether water boils faster with salt is perhaps a never-ending question. My study has addressed this topic from a statistical perspective. Additionally, I have also investigated whether the water quantity
affects the boiling time. I used the two-way Analysis of variance (ANOVA) to analyze and interpret the data.