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The statistics of the Oscars: What type of nominee will win?

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dc.contributor.author Carlton, Jacqueline R.
dc.date.accessioned 2021-05-06T23:47:43Z
dc.date.available 2021-05-06T23:47:43Z
dc.date.issued 2021-05
dc.identifier.uri http://hdl.handle.net/11416/548
dc.description Honors Thesis Spring 2021 en_US
dc.description.abstract The trends and correlations in the Academy Awards have been in the public eye for years. These trends may lead to the ability to understand the differences between winners and nominees in each category. This study will analyze the Oscars over the years 2000-2019, and identify the different variables that may be significant in predicting a winner from a nominee in each category. This study strives to understand trends in the Oscars, and find correlations between a winning entity and different variables (examples include genre, gender, number of previous nominations, etc.). The study will be using statistical methods such as ANOVA analysis, and binary logistic regression along with other statistical tests to calculate the variables that will be the most effective in comparing and understanding the differences between the winners and nominees in each category. Its goal is to explain the different factors that go into an Oscar nominee becoming an Oscar winner. en_US
dc.publisher Florida Southern College en_US
dc.subject Academy Awards (Motion pictures) en_US
dc.subject Analysis of variance en_US
dc.subject Logistic regression analysis en_US
dc.subject Statistics en_US
dc.title The statistics of the Oscars: What type of nominee will win? en_US
dc.type Thesis en_US


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