



Mean is heavily affected by influential observations.
Median is more robust.
Show all the data points at once with their contribution to the distribution of the value x
See Ch. 8 Visualizing distributions: Empirical cumulative distribution functions and q-q plots in Fundamentals of Data Visualization (Wilke 2019)
See also prerequisites materials
How to:
Order all observation ascendingly.
Plot cumulative frequency for every existing observation on Y axis.










Measuring income inequality



The Lorenz curve:
Is a cumulative distribution
Arrange all individuals by increasing income
Compute cumulative % of people by income level (0 to 100% of all people).





How has income distribution changed between 1988 and 2011?
What statistical concept underlies the computation of the Lorenz curve?
See also: https://ourworldindata.org/the-history-of-global-economic-inequality

Joe Hasell (2023) - “Measuring inequality: What is the Gini coefficient?” Published online at OurWorldInData.org. Retrieved from: https://ourworldindata.org/what-is-the-gini-coefficient [Online Resource]

Source: (Todaro and Smith 2014)

MK-068-EN (TM) WS2024/25. (c) Eduard Bukin