EDKP 443 Lecture Notes - Lecture 11: Standard Deviation, Central Tendency, Statistical Significance

• School: McGill University
• Department: Kinesiology and Physical Ed
• Course: EDKP 443
• Professor: Lindsay Duncan

Document Summary

Sampling: where have we seen sampling in this class before, recruiting participants, remove threats to validity: sampling from multiple locations, how to decide how many people are in the study. Stats are only for quantitative data, need to interpret numerical values. Objective interpretation of data that is collected. Test if there is a difference between variables. Stats are presented in research papers; need a basic understanding of what that measure gives you (see through embellishment of data analysis) (understand what numbers are telling you to determine what the relationship is) A single score that represents all the scores. Give an estimate to the collection of scores. Median half values above, half below. Variability = degree of difference between each individual score and the central tendency score. Standard deviation = distance values are from mean. In an normal curve the mean, median, and mode are all in the same place (center of the distribution)