๐Ÿ—“๏ธ Week 05 - Statistical Inference II

2022/23 Lent Term

Author

Dr. Jon Cardoso-Silva

We are continuing our exploration of statistical inference this week, and we are getting heavier on content this week! Try not to skip lectures, or you will start missing out on essential concepts.

๐Ÿ‘จโ€๐Ÿซ Lecture Slides

Either click on the slide area below or click here to view it in fullscreen. Use your keypad to navigate the slides. You can also find a PDF version on Moodle.

๐ŸŽฅ Looking for lecture recordings? You can only find those on Moodle.

โœ๏ธ Formative Coursework

Note
  • You can choose to write it as an individual or in pairs.
  • I will give you feedback on your notes if you submit them via Moodle.
  • Create an R Markdown and name it LSE_DS101L_2022_23_W05_formative.Rmd.
    • Because this is a formative assessment, submission is not anonymous. Therefore, please include your name(s) in the document.
    • Feel free to format this document however you like.

Task 1:

  • Read the article referenced in the indicative readings of the week, Aschwanden (2015).
  • Now answer the following questions:
    1. What is p-hacking? What are the consequences of p-hacking?
    2. How should researchers avoid p-hacking?

Task 2:

  • Now, think back to the small, but tidy, data you collected on ๐Ÿ—“๏ธ Week 02.
  • Suppose you were to create a linear model that would predict a dependent variable called number_of_people_affected of Wikipediaโ€™s ongoing events.
  • Now answer the following questions:
    1. What would you use as independent variables?
    2. How would you handle missing data?
    3. What would be your null and alternative hypotheses?
    4. How would you avoid p-hacking?

Submission

  • Word count: There is no word count limit for this formative assessment, but if you need a number aim for 500-700 words.
  • After you are done writing, knit your RMarkdown document to HTML and submit it on Moodle.
  • Deadline: 27 February 2023.

๐Ÿ“Ÿ Communication

  • Post your reflections, questions, and links on Slack.

References

Aschwanden, Christie. 2015. โ€œScience Isnโ€™t Broken.โ€ FiveThirtyEight. https://fivethirtyeight.com/features/science-isnt-broken/.