CO SCI 136 Lecture Notes - Lecture 3: Statistical Parameter, Central Limit Theorem, Confidence Interval
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Assignment 1: one-way anova, multiple comparisons (but it is actually about t-tests) We are trying to figure out if attractive people get punished less severely than unattractive people, for committing the same crime. We employ 2 groups of undergraduate law students, condition 1 receives a picture of the attractive perpetrator, condition 2 receives a picture of the unattractive perpetrator (both groups are randomly allocated, and have n=10). We are given the population parameters for both groups, but only to simulate the data. We will pretend that we do not know them, when running the actual analysis: We were asked to pretend not to know the population parameters, therefore we do not know . Because we are dealing with continuous variables, and not with frequencies or categorical variables: scroll down for the histograms and the explore data. If you entered the values for correctly, then this should probably hold.
