PSYC 3000 Lecture Notes - Lecture 16: Null Hypothesis, Standard Deviation, Analysis Of Variance

• School: Carleton University
• Department: Psychology
• Course: PSYC 3000
• Professor: Bruce Hutcheon

Document Summary

The smaller the sample size the bigger the standard error which in turn makes t smaller. Large sample size makes for a more powerful test. Expected value is always 0 since we"re testing the null hypothesis. If t value is too far away from 0 and p value is smaller than . 05 than you reject null hypothesis. Expected will be 0 if it"s a test of null hypothesis. Instead of having you"re your expected value at 0, you have it at whatever value you want. Don"t need to learn about confidence intervals in this lecture. When you start a within subjects analysis it doesn"t affect the treatment. Make sure to learn the output tables for one way (between and within subjects) and two way anova (within, between and mixed)