group3_presentation

Suppanut HANTHIRADEJ
18 Oct 202408:23

Summary

TLDRThis presentation explores the commuting experiences of university students compared to their high school days, focusing on travel patterns, waking times, and traffic issues. Data collected via Google Forms reveals a strong correlation between travel times for both educational levels, with students often walking to university, while high schoolers prefer cars. The analysis includes various statistics, such as median travel costs and times, highlighting notable changes in commuting habits and challenges, including traffic congestion. The findings suggest that university students face fewer traffic problems due to proximity to campus.

Takeaways

  • 😀 The presentation compares the commuting experiences of university students to those of high school students.
  • 😀 The study focuses on daily travel routines, emphasizing the repetitive nature of commuting.
  • 😀 Data was collected via Google Forms from students at Kasetsart University and other institutions.
  • 😀 A strong positive correlation (0.91) was found between travel times to university and high school.
  • 😀 Traffic issues experienced during high school and university also showed a positive correlation.
  • 😀 The distribution of wake-up times varied, with university students tending to wake up earlier.
  • 😀 The preferred mode of transport for university students is walking, while high school students favor personal cars.
  • 😀 The average travel time to university was skewed right, indicating longer commute times for some students.
  • 😀 Statistical tests revealed that the average number of days students attend university per week is about 4.35.
  • 😀 Overall, the findings suggest that changes in living arrangements (like moving closer to campus) impact students' commuting experiences.

Q & A

  • What is the main topic of the presentation?

    -The presentation compares the travel habits of students in high school and university.

  • What method was used to gather data for the study?

    -Data was collected using a Google Form from October 2 to October 17.

  • Which university's students were primarily surveyed?

    -The majority of respondents were students from Kasetsart University.

  • What is the difference between 'commuting' and 'traveling' as defined in the presentation?

    -'Commuting' refers to repetitive travel between the same locations, while 'traveling' involves moving between different destinations.

  • What was the correlation coefficient found for commuting times between high school and university?

    -The correlation coefficient for commuting times was found to be 0.91, indicating a strong positive relationship.

  • How do students' waking times compare between high school and university according to the study?

    -The study suggests that there is a correlation between waking times in high school and university, indicating similar patterns.

  • What transportation method do university students prefer?

    -University students predominantly prefer walking as their method of transportation.

  • What does a negative correlation coefficient between university attendance rates and traffic issues suggest?

    -It suggests that students who live closer to campus and walk may experience fewer traffic problems.

  • What statistical measures were primarily used in the analysis?

    -The presentation utilized correlation coefficients, histograms, and hypothesis testing.

  • What conclusion did the study reach about the average number of days university students attend classes?

    -The study concluded that, on average, university students attend classes four days a week.

Outlines

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Mindmap

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Keywords

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Highlights

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Transcripts

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Related Tags
Student TravelUniversity LifeHigh SchoolTraffic IssuesStatistical AnalysisCommute PatternsDaily RoutinesData InsightsEducation TrendsTravel Behavior