Question

In: Statistics and Probability

Download data.beergoggles.csv. The hypothesis is that after alcohol had been consumed, subjective perceptions of physical attractiveness...

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

Solutions

Expert Solution

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.


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