Confidence Intervals explained by Structure and Color (an attempt)
This is an attempt to put all relevant information about confidence intervals into one big image, inspired by sketchnoting. Therefore, there is not too much text. If you want a more verbose version check this out. I know there is a lot of room for improvement. But for a first attempt, I am quite happy. I used inkscape for creating the image. Its convenient because it renders latex which is wanted for the formulae. But I could not add links. I am curious how you like it, so I’d be grateful if you leave me a comment with some feedback. Also, I am very interested in software suggestions, that may lead to better images. But for now — let’s focus on CONFIDENCE-INTERVALS! Yay! :)
This is it. I hope I have not confused you completely. As I already said — I’d be happy about some feedback and/or software suggestions.
References:
[1] Joseph K. Blitzstein and Jessica Hwang. Introduction to Probability Second Edition.
2019. url: https://drive.google.com/file/d/1VmkAAGOYCTORq1wxSQqy255qLJjTNvBI/
view.
[2] R.H. Lock et al. Statistics: Unlocking the Power of Data. Wiley, 2020. isbn: 9781119682165.
url: https://books.google.de/books?id=UiQGEAAAQBAJ.
[3] R.L. Ott and M.T. Longnecker. An Introduction to Statistical Methods and Data Analysis. Cengage Learning, 2015. isbn: 9781305465527. url: https://books.google.
de/books?id=VAuyBQAAQBAJ.
*Concerning the often cited rule of thumb that if ≥30, we can assume that the sampling distribution of the sample mean is normally distributed see for example this nice article: https://towardsdatascience.com/is-n-30-really-enough-a-popular-inductive-fallacy-among-data-analysts-95661669dd98
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