PSYC 2030 Chapter Notes - Chapter 9: Standard Deviation, Scatter Plot, Multivariate Normal Distribution

• School: York University
• Department: Psychology
• Course: PSYC 2030
• Professor: Michael Pettit

Document Summary

Bivariate- involves the relationship between two variables (x & y) Scatterplot is a good way to show correlation: straight lime relationship is one where it is possible to draw a straightline. Correlation coeffients- a measurement that is used to determine the linear association between two variables. Most common correlation coefficient is the pearson"s r: the r indicates how strong a correlation is. Correlation is an expression of covariance relative to dispersion: correlation is a standardize covariance, large number of sample size does not affect the size of correlation. If r as an absolute value of : 0. 1-0. 3 = small effect size, 0. 3-0. 5= modetate effect size, greater than 0. 5 = large size. Common variance- the amount of variation in one variable associated with variation in another variable. The square of of correlation r provides a measure of common variance for two variableswhere they overlap each other.