# AGGRESSION: TV and Behavior In PASWR2: Probability and Statistics with R, Second Edition

## Description

Data regarding the aggressive behavior in relation to exposure to violent television programs.

## Usage

 `1` ```AGGRESSION ```

## Format

A data frame with 16 observations on the following two variables:

• `violence` (an integer vector)

• `noviolence` (an integer vector)

## Details

This is data regarding aggressive behavior in relation to exposure to violent television programs from Gibbons (1997) with the following exposition: “... a group of children are matched as well as possible as regards home environment, genetic factors, intelligence, parental attitudes, and so forth, in an effort to minimize factors other than TV that might influence a tendency for aggressive behavior. In each of the resulting 16 pairs, one child is randomly selected to view the most violent shows on TV, while the other watches cartoons, situation comedies, and the like. The children are then subjected to a series of tests designed to produce an ordinal measure of their aggression factors.” (pages 143-144)

## Source

Gibbons, J. D. (1977) Nonparametric Methods for Quantitavie Analysis. American Science Press.

## References

Ugarte, M. D., Militino, A. F., and Arnholt, A. T. 2015. Probability and Statistics with R, Second Edition. Chapman & Hall / CRC.

## Examples

 ```1 2 3 4 5 6 7 8``` ```AL <- reshape(AGGRESSION, varying = c("violence", "noviolence"), v.names = "aggression", direction = "long") ggplot(data = AL, aes(x = factor(time), y = aggression, fill = factor(time))) + geom_boxplot() + labs(x = "") + scale_x_discrete(breaks = c(1, 2), labels = c("Violence", "No Violence")) + guides(fill = "none") + scale_fill_brewer() rm(AL) with(data = AGGRESSION, wilcox.test(violence, noviolence, paired = TRUE, alternative = "greater")) ```

PASWR2 documentation built on Sept. 5, 2021, 5:44 p.m.