SOC222H5 Lecture Notes - Lecture 7: Type I And Type Ii Errors, Null Hypothesis, Confidence Interval
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Terms to know statistical significance significance level research hypothesis null hypothesis type i error type ii error chi-square expected frequencies observed frequencies (counts) degrees of freedom. 2 procedures we can use to make inferences about the relationship. If we drew all possible samples of size n, 95% of them would. Procedure #2: statistical significance: answer to this question: statistical significance of the relationship. We start with a theory (below) which leads us to the rh. The logic of hypothesis testing: two groups are different. Or: two variables are related research hypothesis. With statistics, you can"t show something is true. It is easier to disprove a statement (carl pauper) So: we create an opposite hypothesis, and we try to disprove that, null hypothesis. Kranzler, p. 105-106: null hypotheses state that nothing is happening: purely by chance. In particular, any differences or relationship you find in your sample is.
