PSYC 300B Chapter Notes - Chapter 4: Null Hypothesis, Sampling Distribution, Random Assignment

• School: University of Victoria
• Department: Psychology
• Course: PSYC 300B
• Professor: David Medler

Document Summary

2 choices for tests of inferential analyses: (a) random sampling model use if: participants are randomly sampled from the population, dv is normally distributed, data are scores, n 7 for each condition (sample) Larger value in the denominator due to unexplained variability. Each population is completely independent & there is no overlap. Shape assumed to be normally distributed: not necessary if n 25-30 in each sample, shape of population 1 = shape of population 2 (ii) sample distributions 2 separate, independent samples: Measure of ct x & x . Measure of variability s & s : compute s for each sample & use s & s to compute the estimated standard of error of the sampling distribution. Shape not applicable, though should not be strongly skewed. Measure of variability sx & sx . Degrees of freedom (df) n1 - 1 & n2 - 1. Measure of ct x -x : x - x = 0.