PSYC 204 Lecture Notes - Lecture 20: Null Hypothesis, Lincoln Near-Earth Asteroid Research, 2Degrees
Document Summary
Correlation plots: scattered points around line = determine correlation, slope of line = not determine correlation. Strong positive (+) correlation r = (+) 0. 8. Moderate positive (+) correlation r = (+) 0. 6. Strong negative (-) correlation r = (-) 0. 8. Perfect (+) positive correlation r = (+) 1. 00. *if multiply all y values or all x values by a number. Still same correlation r = (-)/(+) 1. Perfect (-) negative correlation r = (-) 1. 00. For x {2 4 6 8} & y {9 6 3 0} Inferences about correlations = application to test if 2 quantitative variables related/correlated to. Each other correlation maybe in sample but need infer & test if apply to population: h0 null hypothesis = no correlation between x & y in population so = 0, h1 alt. Hypothesis = correlation between x & y in population so 0 & test at = 0. 01 / 0. 05 r = sample correlation coefficient.
