questionarie_statistical_analysis

https://github.com/ltrinh74123/questionarie_statistical_analysis

Science Score: 44.0%

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Host: GitHub
Owner: ltrinh74123
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Default Branch: main
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Created over 2 years ago · Last pushed 9 months ago

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Readme Citation

README.md

Statistical Analysis on data from Student Questionarie

Testing if handing assignments in on time significantly different between employed and unemployed students

Screenshot 2025-05-23 at 6 51 37 pm

Using a Monte Carlo simulation-based chi-squared test, there is evidence that suggest that there is no association between the students’ punctuality with assignment submissions and their work status.

Testing for a significant difference between a student’s WAM and their employment status

Screenshot 2025-05-23 at 6 57 15 pm

Wilcoxon sum ranked test shows that there is strong enough evidence that WAM from employed and unemployed students are statistically different.

### Testing to see if there is sufficient evidence to show that study hours and employment status Screenshot 2025-05-23 at 6 59 01 pm

Using a 2 sample T-test, there is no evidence that study hours are different between employed and unemployed students.

Owner

Name: Linh Trinh
Login: ltrinh74123
Kind: user

Repositories: 1
Profile: https://github.com/ltrinh74123

Citation (citations.bib)

@online{data2002survey,
  title = "DATA2x02 class survey",
  author = "{DATA2x02 students}",
  year = {2022},
  url = {https://docs.google.com/spreadsheets/d/e/2PACX-1vTML6kYv2rDjKbPTBuSoX6bdkAWb5Hcm7IWxFmpqftgpt-AFiRhSdDn68XKjGAC_SqQHspAw78tMMuQ/pub?gid=1782171849&single=true&output=tsv},
  urldate = {2022-08-26}
  }

@Manual{quarto,
    title = {Quarto: Open source tools for scientific and technical publishing},
    author = {J.J. Allaire and Christophe Dervieux and Carlos Scheidegger and Charles Teague and Yihui Xie},
    year = {2022},
    note = {version 1.1.120},
    url = {https://quarto.org/},
  }

@Manual{gt,
    title = {gt: Easily Create Presentation-Ready Display Tables},
    author = {Richard Iannone and Joe Cheng and Barret Schloerke},
    year = {2022},
    note = {R package version 0.6.0},
    url = {https://CRAN.R-project.org/package=gt},
  }
  
@Manual{R,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2022},
    url = {https://www.R-project.org/},
  }

@Manual{gendercoder,
    title = {gendercoder: Recodes Sex/Gender Descriptions into a Standard Set},
    author = {Jennifer Beaudry and Emily Kothe and Felix {Singleton Thorn} and Rhydwyn McGuire and Nicholas Tierney and Mathew Ling},
    year = {2022},
    note = {R package version 0.0.0.9000},
    url = {https://github.com/ropensci/gendercoder}
  }
  
@article{tidyverse,
	author = {Hadley Wickham and Mara Averick and Jennifer Bryan and Winston Chang and Lucy D'Agostino McGowan and Romain Fran{\c c}ois and Garrett Grolemund and Alex Hayes and Lionel Henry and Jim Hester and Max Kuhn and Thomas Lin Pedersen and Evan Miller and Stephan Milton Bache and Kirill M{\"u}ller and Jeroen Ooms and David Robinson and Dana Paige Seidel and Vitalie Spinu and Kohske Takahashi and Davis Vaughan and Claus Wilke and Kara Woo and Hiroaki Yutani},
	doi = {10.21105/joss.01686},
	journal = {Journal of Open Source Software},
	number = {43},
	pages = {1686},
	title = {Welcome to the {tidyverse}},
	volume = {4},
	year = {2019}}
	
@manual{janitor,
	author = {Sam Firke},
	note = {R package version 2.1.0},
	title = {janitor: Simple Tools for Examining and Cleaning Dirty Data},
	url = {https://CRAN.R-project.org/package=janitor},
	year = {2021}}
	
@article{visdat,
	author = {Nicholas Tierney},
	doi = {10.21105/joss.00355},
	journal = {JOSS},
	number = {16},
	pages = {355},
	publisher = {Journal of Open Source Software},
	title = {{visdat}: Visualising Whole Data Frames},
	url = {http://dx.doi.org/10.21105/joss.00355},
	volume = {2},
	year = {2017},
	Bdsk-Url-1 = {http://dx.doi.org/10.21105/joss.00355}}

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