A psychologist was interested in the effects of alcohol on mate selection at night clubs. prediction was that after alcohol had been consumed, subjective perceptions of the physical attractiveness of another person would become more "inaccurate" (a phenomenon known as the beer-goggles effect). She was also interested whether this effect was different for men and women. She selects a group of participants to join her at a night-club: 14 men and 14 women. She then randomly assigns each participant to either consume multiple alcoholic beverages (the 'alcohol group) or to consume no alcohol (the 'no-alcohol' group). At the end of the evening, she takes a photograph of the person each participant was chatting up. She then asked a pool of independent raters to assess the attractiveness of the person in each photo (higher scores indicating higher level- of attractiveness)
A psychologist was interested in the effects of alcohol on mate selection at night clubs. prediction was that after alcohol had been consumed, subjective perceptions of the physical attractiveness of another person would become more "inaccurate" (a phenomenon known as the beer-goggles effect). She was also interested whether this effect was different for men and women. She selects a group of participants to join her at a night-club: 14 men and 14 women. She then randomly assigns each participant to either consume multiple alcoholic beverages (the 'alcohol group) or to consume no alcohol (the 'no-alcohol' group). At the end of the evening, she takes a photograph of the person each participant was chatting up. She then asked a pool of independent raters to assess the attractiveness of the person in each photo (higher scores indicating higher level- of attractiveness)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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
Transcribed Image Text:A psychologist was interested in the effects of alcohol on mate selection at night clubs. Her
prediction was that after alcohol had been consumed, subjective perceptions of the physical
attractiveness of another person would become more "inaccurate" (a phenomenon known as the
beer-goggles effect). She was also interested whether this effect was different for men and women.
She selects a group of participants to join her at a night-club: 14 men and 14 women. She then
randomly assigns each participant to either consume multiple alcoholic beverages (the 'alcohol
group) or to consume no alcohol (the 'no-alcohol' group). At the end of the evening, she takes a
photograph of the person each participant was chatting up. She then asked a pool of independent
raters to assess the attractiveness of the person in each photo (higher scores indicating higher levels
of attractiveness).
Which of the following lists include all significant effects?
Alcohol
No alcohol
6.6
3.8
Men

Transcribed Image Text:6.0
4.1
Women
The source
of
Degrees
of
MS
F
variability
within
dataset
Freedom
Gender
168.75
Condition
1332.29
Interaction
197.80
Error
3487.44
Total
O Main etfect of gender
O Main effect of gender, interaction effect
O Interaction effect
O Main effect of condition
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