PHYSICS 102 Lecture Notes - Lecture 6: Statistical Inference, Null Hypothesis, Descriptive Statistics
Document Summary
Lecture 5 inferential statistics; hypothesis testing: descriptive statistics provide us with a model of the data set. A testable prediction: to test for hypothesis, we need to measure differences to look for differences and relationships, we make a specific prediction (experimental hypothesis) and the opposite (null hypothesis. We say something is improbable if we see it less than. The mean and sd should be about the same if there"s no difference with the groups but if they are different mean and. In most tests, roughly same as sample size: df = (n 1) + (n 1) n is the number of participants in both groups, dependent samples test, degrees of freedom = n 1. Faster when congruent or in congruent: abstract (120w) after entire write up. Congruent would be faster than incongruent: methods (250w) remember subheadings!, participants (50w) - right, opportunity sample, recruited during psychology research methods lecture, design (50w, experimental, within participants.
