Final(Really)[1]

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  • Our group will be presenting data about the campus clubs and organization at Flagler College.
  • Clubs and Organizations here at Flagler make up a significant impact on the campus as a whole. They give something students to do, as well as prepare them for their after college life. There are a few campus clubs (like SGA) that work to change the college campus to make it better for students.
  • (read the slide)
  • (read the slide)
  • This data is categorical and Binary. The majority of people who took this survey are females.
  • This data is categorical and binary. Most people that took the survey live on campus.
  • From our data, we discovered that most of the people that took our survey were Seniors, while the least number of people to respond were sophomores.
  • We discovered that the most popular majors were Business Administration and Communication.
  • This data is quantitative. It is skewed to the right.
  • (read off the slide)
  • This data is also quantitative. It is skewed to the right. The IQR is 14, and there was an outlier of 28. We determined it was an outlier because it lies beyond two standard deviations of the mean, therefore it is in the upper 0.15% of our data.
  • (read the slide)
  • From this graph, we discovered that most clubs had an average attendence between 10 and 20 students. This graph is skewed to the right.
  • (read the slide)
  • From this data, we determined that Seniors are most likely to be in clubs, where the sophomore class was least likely to be involved.
  • This data revealed to us that as a subjects academic standing increased, so did their likelihood of being an officer for their club. This makes sense because upperclassmen tend to be more knowledgeable on their respective subjects.
  • This showed us that more men tend to be involved in outdoors-related clubs. This came as no surprise because by nature, men typically tend to be more involved with outdoor activities.
  • This side-by-side stem and leaf plot showed us that less people attended the meeting on average then originally signed up for them. The data makes sense because students are not obligated to show up to every meeting and event.
  • Final(Really)[1]

    1. 1. Clubs and Organizations<br />Nick Tabassi<br />John Windle<br />Kevin Trembly<br />Chris Medlin<br />
    2. 2. 10/12/2009<br />PP1_Prep_Hutchison<br />
    3. 3. Why Clubs and Organizations?<br /><ul><li>Many of the students at Flagler are involved in a club or organization
    4. 4. Clubs and Organizations are a vital part to the college experience and learning to work well with others</li></ul>10/12/2009<br />PP1_Prep_Hutchison<br />
    5. 5. Population and Sample<br />Our population includes all students at Flagler College.<br />Our sample is all the people that took our survey (87 students at Flagler).<br />The information we have gathered is a statistic and not a parameter because it is only describing the sample of people who took the survey.<br />10/12/2009<br />PP1_Prep_Hutchison<br />
    6. 6. Demographic Questions Include:<br />Are you a male or a Female?<br />Do you live on Campus?<br />What is your academic standing? (freshmen, sophomore, junior, senior)?<br />10/12/2009<br />PP1_Prep_Hutchison<br />
    7. 7. Gender Demographics<br />10/12/2009<br />PP1_Prep_Hutchison<br />
    8. 8. On or Off Campus Demographics<br />10/12/2009<br />PP1_Prep_Hutchison<br />
    9. 9. Class Standing Demographics<br />10/12/2009<br />PP1_Prep_Hutchison<br />
    10. 10. Academic Majors<br />10/12/2009<br />PP1_Prep_Hutchison<br />
    11. 11. How many Clubs are you in?<br />10/12/2009<br />PP1_Prep_Hutchison<br />
    12. 12. How many Clubs are you in continued<br />10/12/2009<br />PP1_Prep_Hutchison<br />Summary statistics:<br />
    13. 13. How many meetings does your club have per semester?<br />10/12/2009<br />PP1_Prep_Hutchison<br />
    14. 14. How many meetings does your club have per semester continued<br />10/12/2009<br />PP1_Prep_Hutchison<br />
    15. 15. How many members attend the meetings?<br />10/12/2009<br />PP1_Prep_Hutchison<br />
    16. 16. How many members attend the meetings continued<br />10/12/2009<br />PP1_Prep_Hutchison<br />Summary statistics:<br />
    17. 17. Number of Clubs Based on Academic Standing<br />10/12/2009<br />PP1_Prep_Hutchison<br />
    18. 18. Officers of a club based on Academic Standing<br />10/12/2009<br />PP1_Prep_Hutchison<br />
    19. 19. Outdoors oriented clubs based on gender<br />10/12/2009<br />PP1_Prep_Hutchison<br />
    20. 20. Quantitative vs. Quantitative<br />On Average, how many members Approximately how many members <br /> attend the meetings? does your club have?<br /> 8000 :0: 000 5555555555221000 :1: 25555 55550000000 :2: 0000556 55555 :3: 00000555 520 :4: 00 50 :5: 000055 0 :6: 0 :7: :8: 0 :9:<br /> :10: 0<br />10/12/2009<br />PP1_Prep_Hutchison<br />
    21. 21. Summary<br />We learned from our data that seniors were most likely to be involved in clubs, whereas sophomores were least likely.<br />We also learned that seniors were most likely to be officers in their respective clubs. This makes sense because seniors are most likely the most knowledgeable in the club.<br />The data showed us that men were more likely to be involved in outdoors-related clubs then women.<br />The final thing that our data showed us was that more people signed up for clubs than actually attended the meeting on average. There were too many variables to consider when trying to explain why this could be true.<br />10/12/2009<br />PP1_Prep_Hutchison<br />
    22. 22. Work Cited<br />&quot;Create A Graph.&quot; National Center for Education Statistics (NCES) Home Page, a part of the U.S. Department of Education. Web. 11 Oct. 2009. &lt;http://nces.ed.gov/nceskids/createAgraph/default.aspx&gt;. <br />MadeYouLaugh.com - games illusions puzzles, jokes comedy fun, java javascript, stereograms kids humor pictures, images clipart funny, laugh brain teasers, jokes comedy fun, java javascript, stereograms kids humor pictures, images clipart funny, laugh brain. Web. 11 Oct. 2009. &lt;http://www.madeyoulaugh.com/index.php?page=political/girly_girl&gt;. <br />StatCrunch - Data analysis on the Web. Web. 11 Oct. 2009. &lt;http://statcrunch.com/&gt;. <br />SurveyMonkey.com - Powerful tool for creating web surveys. Online survey software made easy! Web. 11 Oct. 2009. &lt;http://surveymonkey.com&gt;. <br />10/12/2009<br />PP1_Prep_Hutchison<br />
    23. 23. The End?<br />10/12/2009<br />PP1_Prep_Hutchison<br />

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