Project 35--40pages need

Main Question and Theme

Introduction

Investigating in the factors that affect students’ GPA are always important because it helps the student learn the priorities between their school work achievements and their personal life activities. It also shows students the balance in their schedule they should take into consideration to achieve success in their academics.

Our group selected three different variables for this project, including clubs, sleep, and credit hours. We assumed that the more clubs a student joins, the lower the GPA. The amount of sleep positively correlates with the GPA; the more amount of sleep a person gets, the higher the GPA. Also, our group suspects that the more credit hours a student takes, the lower their GPA, since they have to manage their schedule differently by studying more subjects at the same time.

Sources of Data and Variables

The data set is collected from 381 students who enrolled in the SPEA-K300 statistics techniques course during FALL 2018.

Data Description

Describing Continuous Variables

For the hours data, the mean is 15.2673, the median is 15, the mode is 15, standard deviation is 1.904072, the minimum is 3, the maximum is 21, the sample size is 318. For the sleep data, the mean is 7.255031, median is 7, mode is 8, standard deviation is 1.073523, minimum is 4, maximum is 10, and the sample size is 318. For the clubs data, the mean is 1.82911, median is 2, mode is 2, standard deviation is 1.3247, minimum is 0, the maximum is 6, and the sample size is 318. There are no relationships among sleep, hours, and clubs.

Describing Discrete and Categorical Variables

We disagree that the GPA have the relationship with HRS.

We disagree that the GPA have the relationship with SLEEP.

We disagree that the GPA have the relationship with CLUBS.