Quantitative Research. Methodology. A Structured Questionnaire

Numerous studies all over the world have made assumptions about the academic performance of students staying on campus in residences and those who travel to campus every day. Some studies suggest that those students who live in campus residences tend to have an advantage over those who don’t (Peterson, 1975). The following review based in related literature will strive to be as thorough as possible about the chosen topic and problems.

Table 2 represents the results which portrays no difference in the groups, (F [1,154] = 136.6, p > .01) where the p value is 5.43. This means that the groups are not statistically different and there is no relationship between the number of dual credit hours earned and college persistence.

The null hypothesis that there is no relationship between the amount of coffee consumption and GPA (p = .62).

H10: There will be a statistically significant direct positive or negative correlation between the Franklin Pierce University Students who have been to Patriots games (tested with Pearson’s r)

Our survey consisted of 30 different questions, which were created to gauge many different factors in how freshmen chose their roommates. The questions that were asked on the survey included demographic questions, such as age and gender. The class standing of the responder determined which questions they were going to answer on the survey. If the participants were freshmen they answered a series of questions that allowed us to gather data on how they met their roommate, as well their current relationship with their roommate.

The focus of this paper is to dispel a common view that community colleges do not provide on-campus housing and to provide greater insights into the types of community colleges that provide on-campus housing, the typical student who resides in on-campus housing, a guide to various California community colleges that provide on-campus housing, and the impact that on-campus housing has on student learning outcomes, financial gains for community colleges that provide on-campus housing, and an overview of the lack of data in the area of not only on-campus housing in community colleges, but community colleges at large. According to Cohen and Brawer (2008) access to student housing is one of the fundamental dissimilarities between public

The Null Hypothesis for this test was Ho: u1- u2 = 0. Dr. Williams Found that the t-value = 0.98603, the p-value = 0.328213, and that p < 0.05. This means his results were not significant at a 0.05 level. Therefore, we fail to reject the null. Dr. Williams can conclude there is no difference between the scores of his two Intro Psych. classes.

Colleges have always encouraged their students to live on campus, especially freshman. This is for the reason that living on campus allows student to encounter new cultures, participate in organizations, and reach academic heights. For example, Tarleton State University states that “Living on campus will enable [the student] to interact with diverse people enriching [their] educational experience and will provide convenient access to professors and academic resources the campus offers. In addition, on-campus students are more likely to become and stay involved in clubs and organizations” (Tarleton State University, 2016). Along with the notion that students residing on campus are likely to reach academic heights, a study conducted at the University of North Dakota during the fall semester of 1966-1967

Many students prefer to live in close proximity to the college, which is one main reason the university has put together student housing on UCF grounds. This is done for many reasons from convenience and safety, to school profitability while promoting campus life styles with school pride. Students can choose to live on school campus right by their classes and most of the time they are walking or biking distance. Statistics show students who lived in the University of Central Florida Housing for two, or more years are 20% more likely to graduate on time. In order to define the right fit for each student, UCF has quizzes that future students can take to see what housing is right for them. (“University of Central Florida.”)

H3: The next question to look at is how many times the students were on the honor roll last year. The data shows that those in activities have been on the honor roll more times. 57.14% of students that are in activities have been on the honor roll twice. 42.86% of the students that were not in activities were also not on the honor roll in the last year. An even amount,28.57%, of those who have been in activities and those who do not be on the honor roll once in the last year. This as well is a very significant question when looking at the hypothesis because this also proves that those in extracurriculars are more likely to have more academic success.

This p-value signifies there is not a significant relationship between the independent variable and the dependent variable. An interesting relevant percentage is 60% of females answering the question responded “disagree” to the statement. Further, in the male column, there seems to be some variation among the responses. There is at least one response in every answer, except for strongly agree were 40% strongly agreed with the statement.

All people were randomly asked and we did not include family members. Once we put all of our data together we ended up asking 297 people. From this 131 were men (Coke=90 Pepsi=79) and 166 were women (Coke=79 Pepsi=87). After we had all the data needed organized into a chart we began to run the chi squared test of association. First thing we did was make our hypotheses, since we are trying to find if there is for an association between gender and drink preference this is what we came up with. Ho is that there is no association between gender and choosing Coke or Pepsi. While Ha is that there is an association between gender and choosing Coke or Pepsi. After we had our hypotheses we moved to the next part which is conditions. We only had to look at 2 things, first if it was random or not. The people in this study were randomly asked so therefore this condition was met. Second thing that has to be met is if all expected

The following paper will report and analyze data collected over five years in an introductory statistics class. The data was collected through a survey taken at the beginning of the semester, with this semester being the fifth in the data set, will be analyzed through a variety of statistical procedures and then inferential statistics will be used to describe the whole Truman State student body. This data set provides a very good representation of Truman students because all students, regardless of their major, are required to take the introductory statistics class. This means that there should be significant similarities between means of the data set and the mean population of Truman. Using living on or off campus as a base, this analysis and the questions posed will be used to determine if housing affects certain aspects of Truman students’ lives, such as: studying hours, amount of time spent exercising, and the average amount of sleep per night.

In addition, research establishes that at two-year colleges, integration has a different influence on the predictive ability of the model (Pascarella & Chapman, 1983). Academic integration is a much greater effect than social integration. A study by Halpin examined integration on freshmen at a community college and determined that integration projected persistence, therefore finding value in Tinto’s model (Halpin, 1990). Additionally, Halpin hypothesized that perhaps students are already integrated into the college community and do not require to fit in an unknown dormitory or campus setting. This refutes critiques of the unsuitability of Tinto’s model to nontraditional students, despite the fact Tinto just proposed to relate the model

The amount of hours worked in a week had an extremely small effect on a person’s dependency to alcohol r2 = .01. This incredibly small effect size is consistent with the results of the significance test. With the correlation having no significance then it is accurate to say that a person’s work hours had