SOC280 Lecture Notes - Lecture 6: Statistical Model, Normal Distribution, Standard Deviation

• School: University of Waterloo
• Department: Sociology
• Course: SOC280
• Professor: Owen Gallupe

Document Summary

Lecture 6 statistical models summary page. Difference between actual score and where the person is predicted to be on your model. So on a graph with all the dots, the line that is your model and the distance to a dot is the error. Differences between your model and the actual data: total error. The amount of error across all your participants in class def: subtract the mean from each score for each data point. Means take the sum or add up for all cases add everything up x = an individual score on variable x. X = the mean of variable x ( x bar ) the average of the x variable (in the brackets beside weird e) everything you need to add up. Take every individual"s data point and then subtract the average, then add it all up. Best fitting model will add up to 0. But that doesn"t always mean it"s a perfect model.