PSYC 1000 Lecture Notes - Lecture 6: Statistical Inference, Random Assignment, Standard Deviation

• School: Memorial University
• Department: Psychology
• Course: PSYC 1000
• Professor: Elizabeth Russell

Document Summary

Correlations to determine if there is a relationship between the variables (and if so what does it look like: quantify this relationship, try to describe the relationship mathematically. Experimental research statistics indicate if the hypothesis has been supported or if there is a meaningful (reliable) difference between the groups: likely or unlikely a behaviour or thing is going to occur. Assesses strength and nature (direction) of a relationship between 2 variables. Quantify the strength of the relationship and if it is a positive or negative relationship: weak, moderate or strong degree of relationship. Correlation coefficient (r): a statistical (numerical) measure of the correlation: pearson r r ranges from -1. 00, a perfect negative relationship, to +1. 00, a perfect positive relationship, no values above or below these variables. Sign represents the nature (direction) + means positive, - means negative and the number is the strength of the relationship.