Keeping It Connected

Keeping It Connected - A1 Analyzing Data Objective To...

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A1 . Analyzing Data Objective: To analyze each of the nine variables associated with keeping it connected with family members by using graphical and numerical descriptive techniques. A2 . Our team constructed a questionnaire containing nine questions. These questions all pertained to how much time people spend trying to remain connected with their families, and what their cumulative GPA’s were. Our group’s target of interest is Syracuse University college undergraduates. The sample that we used represents all Syracuse University undergraduates because the participants were randomly selected and were all from various states around the country. With the results from our questionnaire we will be able to formulate an idea about how trying to “stay connected” may, or may not, affect our academics. A3 . According to Figure 1A most students spend approximately .5 hours per week talking on the phone with their family members. Based on our observation of the graph, the distribution is right skewed. In addition, the numerical descriptive data featured in Table 1 shows that on average students spend .66 hours (40 minutes) talking on the phone speaking with family members and the standard deviation is .3417. This low standard deviation tells us that the data is close the mean and therefore the data is reliable. Figure 2A displays the number of visits home for each one of our participants. According to this graph, most students visit home 3 or more times. Based on our observation of the graph, the distribution is left-skewed. In addition, Table 2 shows us that the average students travels home about 1.96 times per semester. The table also tells us what the standard deviation is, which we can use to see how reliable the data is. When interpreting Figure 3A, we can see that most of our participants talked to their family via email and instant messaging for less than two hours per week. The graph’s distribution is right- skewed. Furthermore, Table 2 shows us that the average student emails and instant messages their family for about 1.63 hours per week (97.8 minutes). Figure 4A displays the cumulative GPAs of our participants. According to the dotplot, we can see that most of our participants have a cumulative GPA of 3.5. The distribution of this graph is left-skewed. Table 4 provides us with even more information. The table tells us that the average participant had a cumulative GPA of 3.2662. The low standard deviation shows us that this data is reliable. Figure 5A graphically illustrates the distribution of how much time (in hours) is spent on homework while on family visits. Most SU students spend zero hours on homework while at home. Numerical descriptive data tells us that the mean is .89 hours and the standard dev is 1.233. This means that on average, most students spend .89 hours or about 53 minutes on homework while on family visits at home. A standard deviation of 1.233 can be interpreted as a relatively close distribution of the data to the mean.
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