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Created: Feb 21, 2019
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Phase 1 Flagler College Students and Cell Phones
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Introduction:

 

This Study explored the cell phone usage of students at Flagler College in the Spring semester of 2019. This report will look at the amount of time students spend on their cell phone, whether or not the type of phone they have plays an influence on this number, how many different apps they use during this time, and the opinion of students in regard to the addictiveness of their cell phone.

 

Data Collection:

 

In the first phase of this project, statistical methods will be used to describe the sample of students surveyed for this particular study. The targeted population is all students at Flagler College in the Spring semester of 2019. One hundred fifty students were surveyed. since only one hundred fifty students were sampled the sample may not be represented of the entire population at Flagler College, so sampling bias exists. The data was also self-reported so the result may produce measurement bias as well.

 

Survey Questions:

 

  1. What Gender do you identify with?
  2. How Old are you?
  3. Was your first cell phone a smartphone?
  4. What type of cell phone do you currently own?
  5. Approximately how many minutes per day do you use your cell phone in any capacity?
  6. Approximately how many different apps do you use on your cell phone on a regular basis?
  7. Has your parent or legal guardian ever placed parental controls on your cell phone?
  8. Do you think it is important to your social life to always be “connected” with friends via your cell phone?
  9. Do you think it is important to your social life to post your daily happening?

     10. Do you think that cell phone use is addictive?

 
 

Sample Data - Graphs and Summary Statistics

 

Demographics

In the sample of 150 students, 76% were female and 24% were male. The distribution of gender is parallel to that of the entire student body of Flagler College, composing of mostly females. That’s why the mode for this data is female. A Bar graph below depicts the genders of the 150 students below.

  

Result 1: Gender of Students Surveyed

 

The age of all the students surveyed is shown in the histogram below. The distribution is unimodal and right skewed with a potential outlier at age 47. The distributions are right-skewed making the best measure of center the median, which is 19 with the outlier removed and the spread would be determined by the IQR of 1. The average age of students in this survey was 19 years of age with most students falling within 1 year of 19 years old. The outlier of 47 seemed highly unlikely so it was removed for the summary statistics

 

 

Result 2: Age of Students Surveyed

 

 

Result 3: Summary Stats - Age Without Outlier

Summary statistics:

 

Column

n

Mean

Median

Mode

Std. dev.

Range

IQR

Min

Max

Age

149

18.778523

19

18

1.0770683

8

1

17

25

 

 

 

Other Sample Results:

 

82% of the students surveyed said that their first phone was not a smartphone, leaving the other 18% only having ever experienced a smartphone. That 82% had a time where they couldn't do everything on their smartphone. That data can be assumed but is not conclusive to the amount of time being spent on an iPhone.

 

 

Result 4: First Phone a Smart Phone

 

 

 

 

The pie chart below depicts the data on what type of phone each student had. The iPhone is the most popular with 121 at 80.67%, with the android at 26 students at 17.33% and all other types being at 2% of the overall data. This data falls in with the iPhone being the face of smartphones and so the large quantities of phones can be speculated as to why the minutes per day are so spread out and high. It could be speculated that if more students had androids the median would be lower for the minutes per day spent on the phone.

 

 

Result 5: Current Phone

 

 

 

The amount of minutes per day spent on their phones by students has a very wide range of spread, from 0 all the way to 300! The data is represented in the histogram below showing the minutes per day on phone by each student. The best measure of center in the mean at 172 because the graph is not skewed. The mode of the graph which sets at 300 with 36 students showing that a lot of the students spent 300 minutes on their phones with 100 coming in second with 31 students. The data does not contain any outliers.

 

 

Result 6: Minutes Per Day on Phone

 

 

Result 7: Summary Stats - Minutes per day W/ Outlier

Summary statistics:

 

Column

n

Mean

Median

Mode

Range

Std. dev.

IQR

Min

Max

Minutes per day on phone

150

172.55333

180

300

296

96.695644

170

4

300

 

 

 

The data below show the number of different apps used during the day by the 150 surveyed at Flagler College in the spring semester of 2019. The model is right skewed making the best measure center the median which falls at 6 and best measure of spread is the IQR at 6. The data shows us that even though those surveyed spent a lot of times on their phones each day the average only used 6 apps during that time. That says that each spent almost one hour on each app!

 

 

Result 8: Different Apps Per Day

 

 

Result 9: Summary Stats - Different Apps W/ Outlier

Summary statistics:

 

Column

n

Mean

Median

Mode

Range

Std. dev.

IQR

Min

Max

Different Apps

150

7.46

6

5

25

4.6927475

6

0

25

 

 

 

Parental controls as shown in the pie chart below were not experienced by the group as a whole. Most, in fact, did not have parental controls on their phone, 78.76% of them, in fact, did not have parental controls. It's impossible to tell if the variable of parental controls had an effect on phone usage as we do not know who gave which answers.

 

 

Result 10: Parental controls used by parents

 

 

 

The pie chart that shows the data for the question, do you think it's important for your social life to always be connected via phone, is actually quite surprising. The percentage almost being 50/50 with 52.67% saying yes it is important and 47.33% saying no it is not important. This is quite surprising seeing how much time they reported spending on their phone and on only 6 apps.

 

 

Result 11: Connections important to others

 

 

 

Another surprising fact is found in the data with the pie chart below showing the data for the 150 surveyed on if they post daily. The Pie chart shows that 92% do not post daily. This steers the direction of what kind of apps these 150 students might be using. When we compare this with the pie chart on connections, we can theorize that maybe it's not on social media but for other things like news and entertainment.

 

Result 12: Post daily

 

 

 

 

The Final Graph for this data is not surprising at all. The pie chart depicts the percentages of the 150 students who found cell phone use addictive. 90.67% found it to be addictive while just 9.33% found it to not be. This compares with the graph ph minutes used daily shows that those surveyed were aware of their time spent on their cell phones.

 

 

Result 13: IS phone Usage Addictive

 

 
 

Result 1: Bar Plot With Data- gender   [Info]
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Result 2: Histogram-Age   [Info]
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Result 3: Bar Plot With Data-First phone   [Info]
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Result 4: Pie Chart With Data-type of phone   [Info]
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Result 5: Histogram-minutes on phone   [Info]
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Result 6: Histogram-apps   [Info]
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Result 7: Pie Chart With Data-parental controls   [Info]
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Result 8: Pie Chart With Data-connected   [Info]
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Result 9: Pie Chart With Data-post daily   [Info]
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Result 10: Pie Chart With Data-addictive   [Info]
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Data set 1. Flagler College Students and Cell Phones Spring 20   [Info]
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