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PSYC 3000 Lecture Notes - Lecture 10: Null Hypothesis, Statistical Hypothesis Testing, Statistical Parameter

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School
Carleton University
Department
Psychology
Course
PSYC 3000
Professor
Lise Paquet

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Document Summary

Independence= yes. (kid has no effect on the other child) (would if they were from same family) Success/failure condition= 384 (46) and 384 (338: p-value = 1, this means that the occurrence would only happen once every (less than) 1,000 times, no, it is not evidence of an increase in risk. It is not significant enough: environmental chemicals do not cause congenital abnormalities. There is a strong link between confidence intervals and hypothesis testing. They have the same assumptions and conditions. Recall that a confidence interval gives us a set of plausible values for the unknown population parameter. All values in the interval are considered possible values for the parameter being estimated. You can approximate a test of a specific hypothesis by examining a confidence interval: because confidence intervals are two-sided, they correspond to two-sided (2- tailed) tests. Just ask whether the null hypothesis value (po) for the parameter is contained in the confidence interval.

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