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This data set, Beer Goggles, provides median attractiveness ratings of 50 attractive or unattractive faces after consuming different amounts of alcohol. Variables: FaceType Attractiveness of

This data set, "Beer Goggles", provides median attractiveness ratings of 50 attractive or unattractive faces after consuming different amounts of alcohol. Variables: FaceType Attractiveness of the rated faces based on facial symmetry ('0' = unattractive, '1' = attractive). Alcohol Amount of alcohol consumed ('0' = Placebo group with 500 ml of non-alcoholic beer, '1' = Low-dose group with 500 ml of average strength beer (4% ABV), '2' = High-dose group with 500 ml of strong beer (7% ABV). Attractiveness Median of the 50 attractiveness ratings on a scale from 0 ("pass me a paper bag") to 10 ("pass me their phone number"). Reference: Field, A. (2017). Discovering statistics using IBM SPSS statistics (5th ed.). London: SAGE.

Now assume we do not know anything about how how individuals rate attractiveness or how that variable is distributed. We do have this sample with the sample size you mentioned in 1b

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Create 90% confidence interval for the mean attractiveness scores.

Create 95% confidence interval for the mean attractiveness scores

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