Have you ever wondered what determines the length of a movie? What about the rating that movie gets on popular movie rating sites like Rot- tentomatoes.com or IMDb.com? In this paper, we explore a large movie data set and examine some relationships between the length of the movie and various attributes, such as: year released, genre, MPAA rating, and budget. We also apply various correlation measures (Pearson, Spearman, and Kendall, respectively) to audience ratings between two popular movie rating sites, Rottentomatoes.com and IMDb.com. In addition, we also describe the technique of web scraping for obtaining data from online sources, and we implement a bootstrapping approach to estimate the standard errors of the correlation statistics. So, please, sit back, relax, and enjoy the show...
Kehling, Matthew, "Statistical Cinema" (2016). Mathematics. Paper 5.