PSYCH101 Lecture Notes - Lecture 3: Confounding, Sampling Error, Random Assignment

• School: University of Waterloo
• Department: Psychology
• Course: PSYCH101
• Professor: Paul Wehr

Document Summary

Research article: abstract: summary of hypotheses, methods, and results. Statistics describing events mathematically: variables, quantitative variables: numbers represent different quantities (more or less of an attribute), qualitative variables: numbers represent different qualities (categories). Samples: population is the complete set of observations, sample is a subset of observations taken to represent the population, parameter vs. statistic, parameters describe characteristics of the population, statistics describe corresponding characteristics of the sample, sampling error. The difference between the statistics & parameters (varies from sample to sample) Sum: variability, measures of variability. 4: correlation, correlation coefficient (r, positive r - iv increases, dv increases, negative r iv increases, dv decreases. Determine whether the difference between 2 groups (population to sample, sample to sample) is due to: sampling error, real differences between 2 groups. Therefore, not enough evidence to conclude that treatment caused the difference: t-test, test the difference between 2 means. 5: f-test, test the difference among 3 or more means.