Updated:

Management Statistics: Student Commute Time Report

Exclusively available on Available only on IvyPanda® Made by Human No AI

Introduction

The present report aims at analyzing factors that affect the commuting time of students to the university. The report is based upon data from 151 randomly selected university students surveyed in 2017, among which 100 were males, 45 were females, and 6 preferred not to specify their gender. The university students were categorized by domicile status, including students from the UK, the EU, and international students. The students were also categorized by their age into three groups, which were students of 18- and 19-year-olds, 20- and 21-year-olds, and students over 21 years of age.

The survey did not specify the exact age of students for ethical considerations and calculation purposes. The students lived in different types of accommodations, which were the Priory Hall, University self-catering halls of residence, university house, privately rented house or flat, parents home, own home, and others. Apart from average commuting time to the university, the survey assessed 13 other variables, among which are demographical data, employment status, and information about academic performance. The level of satisfaction with accommodation was also assessed with possible replies, including “yes, very;” “yes, it’s reasonable;” “no.” The present report will determine how demographical characteristics, such as gender, student domicile status, and age, affect commuting time to the university.

Analysis

Time to University Distribution

According to the survey data, the students spend up to 145 minutes getting to the university. Figure 1 below presents information about the distribution of travel to the university. As one can observe, the mean of the data sample is 38.81, with a standard deviation of 31.82. However, since the histogram is rightward skewed, the median value is more representative for demonstrating the central tendency of the data sample. The median of the data sample is 30, which implies that the majority of students need 30 minutes or less for commuting.

Distribution of commuting time to the university.
Figure 1. Distribution of commuting time to the university.

The observations also show that the variability of data is high. Additional analysis was required to understand the reasons for such variability. Therefore, it was decided to analyze how demographic features affect the time students spent traveling from home to university.

Types of Students

The first assumption was that commuting time is affected by the type of student. There are three types of students studying in the university according to their domicile status. Table 1 below demonstrates descriptive statistics of time to university depending on the type of student. The observations show that there is no significant difference in the mean or standard deviation values of time to university, depending on the type of student. This implies that domicile status has no predictive ability for time to the university.

Table 1. Descriptive statistics of time to the university by domicile status.

VariableDomicileTotal
Count
MeanStDevMinimumMedianMaximum
Time to UniversityUK5338.5833.235.0025.00110.00
EU5238.0830.573.0030.00120.00
International4640.6932.234.0030.00135.00

Gender

The second assumption was that commuting time depends on the gender of the students. The sample included 100 male students, 45 female students, and 6 students who preferred not to specify their gender. Table 2 presents descriptive statistics of commuting time sorted by gender. The observations revealed that, on average, females spent more time than males to get to university. The hypothesis was confirmed by a two-sample t-test showing that with a confidence level of 95%, there is a difference in means of commuting time between male and female populations (p = 0.037). Therefore, it may be concluded that gender has an effect on the time it takes students to get to university.

Table 2. Descriptive statistics of time to the university by gender.

VariableGenderTotal
Count
MeanStDevMinimumMedianMaximum
Time To UniversityMale10034.0729.843.0025.00110.00
Female4546.1832.705.0035.00135.00
Not specified662.541.620.052.5120.0

Age

The third assumption was that there is a correlation between age and commuting time. The distribution of ages of the sample is presented in Figure 2 below.

Distribution of Age.
Figure 1. Distribution of Age.

The effect of age was assessed using descriptive statistics of time to the university by age groups demonstrated in Table 3 below. The observations revealed that students of 21 spend significantly more time getting to the university. The hypothesis was confirmed with ANOVA analysis that revealed that there is a difference in means of the three age groups with a confidence level of 95% (p = 0.0119). Therefore, it may be concluded that age affects the commuting time to the university.

Table 3. Descriptive statistics of time to the university by age.

VariableAgeTotal
Count
MeanStDevMinimumMedianMaximum
Time To University18-199333.1530.733.0025.00135.00
20-211339.8523.238.0040.0080.00
Over 214550.2033.615.0050.00120.00

Conclusion

The results of the analysis revealed that the majority of students spend 30 minutes or less to get to university. This time is affected by gender, as females tend to need more time for commuting in comparison with males. At the same time, older students tend to spend more time commuting than younger ones. The domicile status did not appear to have any effect on commuting time. Further analysis is required to assess the impact of other variables on the time it takes students to get to the university.

More related papers Related Essay Examples
Cite This paper
You're welcome to use this sample in your assignment. Be sure to cite it correctly

Reference

IvyPanda. (2022, February 11). Management Statistics: Student Commute Time. https://ivypanda.com/essays/management-statistics-report/

Work Cited

"Management Statistics: Student Commute Time." IvyPanda, 11 Feb. 2022, ivypanda.com/essays/management-statistics-report/.

References

IvyPanda. (2022) 'Management Statistics: Student Commute Time'. 11 February.

References

IvyPanda. 2022. "Management Statistics: Student Commute Time." February 11, 2022. https://ivypanda.com/essays/management-statistics-report/.

1. IvyPanda. "Management Statistics: Student Commute Time." February 11, 2022. https://ivypanda.com/essays/management-statistics-report/.


Bibliography


IvyPanda. "Management Statistics: Student Commute Time." February 11, 2022. https://ivypanda.com/essays/management-statistics-report/.

If, for any reason, you believe that this content should not be published on our website, please request its removal.
Updated:
This academic paper example has been carefully picked, checked and refined by our editorial team.
No AI was involved: only quilified experts contributed.
You are free to use it for the following purposes:
  • To find inspiration for your paper and overcome writer’s block
  • As a source of information (ensure proper referencing)
  • As a template for you assignment
Privacy Settings

IvyPanda uses cookies and similar technologies to enhance your experience, enabling functionalities such as:

  • Basic site functions
  • Ensuring secure, safe transactions
  • Secure account login
  • Remembering account, browser, and regional preferences
  • Remembering privacy and security settings
  • Analyzing site traffic and usage
  • Personalized search, content, and recommendations
  • Displaying relevant, targeted ads on and off IvyPanda

Please refer to IvyPanda's Cookies Policy and Privacy Policy for detailed information.

Required Cookies & Technologies
Always active

Certain technologies we use are essential for critical functions such as security and site integrity, account authentication, security and privacy preferences, internal site usage and maintenance data, and ensuring the site operates correctly for browsing and transactions.

Site Customization

Cookies and similar technologies are used to enhance your experience by:

  • Remembering general and regional preferences
  • Personalizing content, search, recommendations, and offers

Some functions, such as personalized recommendations, account preferences, or localization, may not work correctly without these technologies. For more details, please refer to IvyPanda's Cookies Policy.

Personalized Advertising

To enable personalized advertising (such as interest-based ads), we may share your data with our marketing and advertising partners using cookies and other technologies. These partners may have their own information collected about you. Turning off the personalized advertising setting won't stop you from seeing IvyPanda ads, but it may make the ads you see less relevant or more repetitive.

Personalized advertising may be considered a "sale" or "sharing" of the information under California and other state privacy laws, and you may have the right to opt out. Turning off personalized advertising allows you to exercise your right to opt out. Learn more in IvyPanda's Cookies Policy and Privacy Policy.

1 / 1