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Movie executives want to know if a movie watcher’s heart rate increases when they watch certain types of movies. Subjects in the experiment were given a free movie ticket and randomly assigned to watch one of four movies: an action-adventure film, a horror film, a romantic comedy, or an animated children’s film. They measured the average heart rate of all subjects while watching the assigned film.Which of the following is the most appropriate statistical test to use to test if the average heart rate of the movie watchers was different for the four types of movies? Two-sample t-test Matched pairs t-test Chi-squared test for independence Inference for regression ANOVA

Question

Movie executives want to know if a movie watcher’s heart rate increases when they watch certain types of movies. Subjects in the experiment were given a free movie ticket and randomly assigned to watch one of four movies: an action-adventure film, a horror film, a romantic comedy, or an animated children’s film. They measured the average heart rate of all subjects while watching the assigned film.Which of the following is the most appropriate statistical test to use to test if the average heart rate of the movie watchers was different for the four types of movies? Two-sample t-test Matched pairs t-test Chi-squared test for independence Inference for regression ANOVA

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Solution

The most appropriate statistical test to use in this scenario would be ANOVA (Analysis of Variance). This is because the experiment involves comparing the means of more than two groups (in this case, the four different types of movies). ANOVA is designed to test if there is a significant difference among the group means. The other tests listed are not as suitable: a two-sample t-test and matched pairs t-test are only for comparing two groups, not four; a Chi-squared test for independence is for categorical data, not numerical data like heart rate; and inference for regression is used to examine the relationship between two quantitative variables, which is not the focus of this experiment.

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