In: Statistics and Probability
Download data.beergoggles.csv. The hypothesis is that after alcohol had been consumed, subjective perceptions of physical attractiveness would become more inaccurate (beer-goggles effect). There were 48 participants: 24 males, 24 females. The researcher took 3 groups of 8 participants to a night club. One group got no alcohol, one group 2 pints, and one group 4 pints. At the end of the evening the researcher took a photograph of the person the participant was chatting up. The attractiveness of the person on the photo was then rated (0 - 100) by independent judges. Use a 0.03 significance level and apply the methods of two-way analysis of variance. Was there an interaction between the two factors? What is your conclusion?
Female | None | 65 |
Female | None | 70 |
Female | None | 60 |
Female | None | 60 |
Female | None | 60 |
Female | None | 55 |
Female | None | 60 |
Female | None | 55 |
Female | 2 Pints | 70 |
Female | 2 Pints | 65 |
Female | 2 Pints | 60 |
Female | 2 Pints | 70 |
Female | 2 Pints | 65 |
Female | 2 Pints | 60 |
Female | 2 Pints | 60 |
Female | 2 Pints | 50 |
Female | 4 Pints | 55 |
Female | 4 Pints | 65 |
Female | 4 Pints | 70 |
Female | 4 Pints | 55 |
Female | 4 Pints | 55 |
Female | 4 Pints | 60 |
Female | 4 Pints | 50 |
Female | 4 Pints | 50 |
Male | None | 50 |
Male | None | 55 |
Male | None | 80 |
Male | None | 65 |
Male | None | 70 |
Male | None | 75 |
Male | None | 75 |
Male | None | 65 |
Male | 2 Pints | 45 |
Male | 2 Pints | 60 |
Male | 2 Pints | 85 |
Male | 2 Pints | 65 |
Male | 2 Pints | 70 |
Male | 2 Pints | 70 |
Male | 2 Pints | 80 |
Male | 2 Pints | 60 |
Male | 4 Pints | 30 |
Male | 4 Pints | 30 |
Male | 4 Pints | 30 |
Male | 4 Pints | 55 |
Male | 4 Pints | 35 |
Male | 4 Pints | 20 |
Male | 4 Pints | 45 |
Male | 4 Pints | 40 |
We can apply the Rcode to obtain the anova table.
Here is the R code
data=read.csv("data.beergoggles.csv",head=T)
attach(data)
summary(aov(ratings~sex*alcohol))
Here is the anova table:-
Df Sum Sq Mean Sq F value Pr(>F)
sex 1 169 168.8 2.032 0.161
alcohol 2 3332 1666.1 20.065 7.65e-07 ***
sex:alcohol 2 1978 989.1 11.911 7.99e-05 ***
Residuals 42 3488 83.0
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
As the p-value for the interaction affect between sex and alcohol (7.99e-05) is very less than 0.03, we shall say that there is an interaction affect between sex and alcohol. Also there is a significant effect due to alcohol because the corresponding p-value= 7.65e-07 is also very small.
Thus the conclusion is that hypothesis is true that after alcohol had been consumed, subjective perceptions of physical attractiveness would become more inaccurate and also that beergogle effect varies with gender.