# PSYB01H3 Chapter 13: Chapter 13 - Detailed & Easy to Learn

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## Document Summary

Chapter 13 understanding research results: statistical inference. Inferential statistics are necessary because the results of a given study are based on data obtained from a single sample of research participants. Probability is the likelihood of the occurrence of some event or outcome: we want to specify the probability that an event will occur if there"s no difference in population. Sample size: as the size of your sample increases, you are more confident that your outcome is actually different from the null hypothesis expectation. the numerator is the difference between the means of the 2 groups. the first situation is called a one-tailed test, and the second is a two-tailed test. F test: the analysis of variance, or f test, is an extension of the t test. The analysis of variance is a more general statistical procedure than the t test. Accept the null hypothesis: there are also 2 possible truths about the population: 1.

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