PSYC 2001 Lecture Notes - Lecture 6: Internal Consistency, Statistical Inference, Veganism

• School: Carleton University
• Department: Psychology
• Course: PSYC 2001
• Professor: Deanna Whelan

Document Summary

Divided by the number of values summed up. X bar, m, xdot, gm, oh the confusion!! Issue: only looks at 2 pieces of data . If we were to add together all of the devisiations it would equal 0 sooooo ^: sum the squared deviation and divide by the number summed gives us the average squared deviation, variance. Research needs to be designed to have variability: but where the variability is is also critical. Inferential statistics: use descriptive statistics to help us make an inference about the population, descriptive statistics , describe the data (central tendency, variability, and normality) . Levels of measurement (lom: recap , nominal scales . Interval can do mode, can do median, can do mean: ratio- can do mode, can do median, can do mean, ^^ this dictats what statistics can be run. Tells us how accurate the measure is: reliability of measures, consistency or stability of a measure.