PSY100H1 Chapter Notes - Chapter 10: Emor, Railways Act 1921, Univariate
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PSY100H1 Full Course Notes
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Overview: chapter 10: case study: dunn (2008, statistical approach, univariate distributions, descriptive statistics, sampling distributions. Case study: dunn (2008: can you buy happiness, participants randomly assigned to, money condition ( or , spending condition (self or others) Inferential = estimate characteristics of a population from a random sample. E. g. looking at the difference between m1 and m2 on the basis of how much spread. Are these groups really different or are they a product of random variation: used to test hypotheses about the relationship between variables, must consider level of measurement. Frequency distributions (from counting occurrences: frequency table, shows the number of cases and/or the percentage of cases who receive each possible score on a variable, often precedes the formal statistical analysis. All you know here are that these are different (nominal) and that people identify themselves as one of these.
