CRIM 320 Lecture Notes - Lecture 6: Repeated Measures Design, Null Hypothesis, Falsifiability
16 Apr 2018
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Cannot be any overlap between the 2. Include all possibilities (cannot leave anything out) Difference is real, but must be shown to exist. Driven by research qs you are asking. Difference is caused by random chance or sampling error. H0 always states there is no significant difference . Crim320 lecture 6: testing hypotheses between a sample and a population. Hypotheses must be mutually exclusive and exhaustive. For 2 interval/ratio or ordinal level measures . For 1 categorical and 1 continuous measure: The greater one"s income, the lesser their involvement in crime. Among protestants, the greater the education, the greater the income. Null: there is no relationship between education and income among protestants. Category x1 (iv1) will have a higher/lower score on y (dv) than category x2 (iv2) Males will have higher educational attainment than females. Null: males will not have higher educational attainment than females. Category x1 will be more likely to have characteristic y than category x2.
