Question

movie executives want to know if a movie watchers 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 childrens 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? a. chi - squared test for independence b. anova c. inference for regression d. matched pairs t - test e. two - sample t - test

Explanation:

• Chi - squared test for independence is used to check if two categorical variables are related. Here, we are comparing means of a numerical variable (heart rate) across different groups (movie types), so A is incorrect.
• ANOVA (Analysis of Variance) is used to test if the means of three or more independent groups are significantly different. We have four movie types (four groups), and we want to test if the average heart rates (numerical variable) of these four groups are different.
• Inference for regression is used to study the relationship between a dependent variable and one or more independent variables in a regression context. This is not a regression problem, so C is incorrect.
• Matched pairs t - test is used when we have paired data (e.g., before - after measurements on the same subjects). The data here is not paired, so D is incorrect.
• Two - sample t - test is used to compare the means of two independent groups. We have four groups, so E is incorrect.

Answer:

B. ANOVA