statistic project

Main Research Question/Theme

What factors/variables are associated/correlated with student achievement (GPA)?

Introduction:

According to our achievement is changing student’s GPA by factors or variables, the independent variable will be student GPA. The dependent four variables we decided were sleeping time, credit hours in a semester, club hours and nutrition level. We are going to discuss these four variables by questioning how does student’s sleeping time influenced their GPA; how long does a student take jobs influenced their GPA; how does student’s club hours per month influence their GPA; how does nutrition level affect GPA. Our goal is to help students could have a high probability to achieve a good GPA by changing their behaviours through our answered statistical research.

The achievement we are willing to discover are: the length of students sleeping time would directly influence student’s GPA; based on how long does a student take jobs would not influence student’s GPA; the length of the time for participating in club would not influence student’s GPA; level of nutrition would have some influence of student’s GPA.

Source of Data Variables:

The data we collected was from a survey of IU students enrolled in K-300 during the spring 2018 semester. The sample size was 318 students who have been asked questions about their sleeping time, jobs, club hours, and level of nutrition. Based on our dependent variable student’s GPA, we are going to pay attentions on these independent variables.

Data description:

Here is the original histogram that illustrates students’ GPA:

Why choose Sleeping time? sleeping is one of the important influence factor to the student GPA. If people have lack of sleep, they may get tired, slothful and not concentrate on their study, so that they will not have good grades on the exams and will lower the GPA. Otherwise, if people have enough sleep, they may have full of energy to study their class, the GPA will go higher.

The median and the mode are higher than the mean 8>7.24 The data set ranges from minimum 4 to maximum 10 hours of sleep with a standard deviation of 1.07 hours. The mode average have 8 hours for these 318 students of 2018 spring spea K300 class. The data form tell us sleeping hours affect our grade. Less sleep means lower grades.

Why choose how many jobs the student take? Jobs will occupy long time in a day for a student because it will be difficult for him or she to schedule a time for studying.

According to Job Point Average of job data and Pareto Chart, we can see that 186 interviewed K-300 students has a mean as 5.21 hours per week and a standard deviation as 8.72 hours per week which are much lower than maximum 35 hours per week. Minimum, Median and Mode are all 0 hours per week. It seems like most of students do not have a job. However, based on the data on GPA histogram, 0 hours per week students can also have a good GPA. There has no directly interaction between jobs and GPA.

Why choose nutrition level? Nutrition level can directly affect student GPA because nutrition can affect ability to focus when completing assignments or doing homework.

Description of data: My data shows student’s nutrition level in our class. The mean is 3.49, and the mode and median are both 4, which means most students have high level of nutrition. In the second chart, it clearly shows that there is somewhat relationship between nutrition level and GPA, because high nutrition students basically have high GPA.

Why choose club hours? Club activities occupy student’s daily available time even study time, so it may influence student’s GPA.

All students:

Students who have 0 hour club hour per month:

Students who have over 10 club hours per month:

All student:

Data Description:

My data shows student’s club hours per month, and it shows the mode is o hour, which means many students have no club hours. In the second chart, it shows the student’s GPA, who have 0 club hours per month. In the third chart, it shows the student’s GPA, who have over 10 club hours per month. In the second and third chart, it does not show any relationship between club hours and GPA. Therefore, in the fourth chart, I combine these two types data and make club hours data as a rising trend. It clearly shows that there is not relationship between club hours and student’s GPA, so I will say that club hours do not influence student’s GPA.