An expected proportions chi-square, investigating Hollywood ethnic representation vs. USA IRL data

I came across a Reddit post in which a user did a quick-and-dirty data collection of the ethnicities of the three top-billed actors in each of 100+ million USD-earning movies between 2022 and 2025. They then compared the data to US census data.

Regardless of how Reddit reacted, I saw this and decided that it would make a good example for explaining and performing a chi-square with expected proportions. I'm so fun at parties, guys.

While the original sample was 228, I created an imitation sample (n = 100) with the Hollywood data as the observed data. I used the US census demographic percentages as the expected proportions.

Here is my n = 100 imitation data, in JASP, .TXT, and a text file of the R code generated by JASP.

AND PLUS ALSO: The OP in Reddit gave their quick-and-dirty research methodology for collecting data on the ethnic breakdown of the top-billed actors in very successful movies. I think you could challenge your RM students to consider how they could create a more robust dataset on ethnicity and representation in films.

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Ways to use funny meme scales in your stats classes

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