The Relationship Between a Students Social Lifestyle and First Year Average Exam Grade

Topics: Statistical hypothesis testing, Facebook, Null hypothesis Pages: 9 (3101 words) Published: February 7, 2013
The Relationship between a Students Social Lifestyle and First Year Average Exam Grade Alternate Hypothesis: There is a relationship between a Students social lifestyle and their first year average exam grades Null Hypothesis: There is no relationship between a Students social lifestyle and first year average exam grades Introduction

The aim of my investigation is to find a significant relationship between a student’s first year academic grades and his or her social lifestyle. I can relate myself to this study as I am in the second year so it would be interesting to see if my first year grades were influenced by my social lifestyle. In this study I will consider one dependant variable, the exam grades and three independent variables which I believe are the main components of a student’s social lifestyle. These are alcohol consumption, the amount of hours on Facebook and the amount of hours of television watched. The more units of alcohol consumed, the lower a student’s grade would be I myself believe that this hypothesis is significant because alcohol is consumed normally before and during a night out. Nights out normally end at 3am in the morning. This means that the next morning the student will wake up tired with a possible hangover which leads to decreased concentration during lectures and the effects may also reduce motivation to even attend the lecture. Therefore as a result of this, the student may not work sufficiently enough to obtain a high grade. A study by Wood et al found that “A longitudinal study of 444 freshmen attending the University of Missouri found a significant cross-sectional association between heavy or problem drinking and academic problems.” (Wood et al., 1997) The more hours online on Facebook, the lower a student’s grade would be Facebook is a popular social networking website which is used by a large majority of students. Students that spend an excess amount of time on Facebook are missing out on time to study and revise. Therefore they have less time to prepare for their exams which will lead to them attaining lower grades. Kirschner and Karpinski carried out an experiment and “Results show that Facebook® users reported having lower GPAs (Grade Point Averages) and spend fewer hours per week studying than nonusers.” (Paul A. Kirschner, Aryn C. Karpinski, 2010) The more hours of Television Watched, the lower a student’s grade would be We can presume that there is a link between the hours of television watched and a student’s grade. The reasons to this are as followed, if a student spends more time watching television they are dedicating less time to learning and revising. The students that watch less television may spend more time learning and therefore could perform better in exams obtaining a higher grade. Currently there has been no research in support of hours of television watched and a university student’s grade so this research would be a first in its field. Data and methodology

The data collected has been obtained by using a survey. It contains answers from 82 second year undergraduate students from the Aston Business School. The questions were based on personal information, life style, family background, academic related information and other information. The answers that related to a student’s social lifestyle were then chosen to become variables for the research. In order to process the data, a programme called Stata which is an integrated statistical package for data analysis, will be used. It will enable the data to be viewed easily in the form of graphs, tables and numerical values. A problem that may occur in the study is the presence of heteroskedasticity. This only occurs in cross-sectional studies. We will carry out a heteroskedasticity test and if the probability shows a value quite far from 0 then heteroskedasticity is present. We will use the following methods to interpret the information: * Mean: The average number for the data

* Standard Deviation: This creates a...
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