# SOC222H5 Chapter Notes - Chapter 6-8: Sampling Error, Standard Error, Interval Estimation

## Document Summary

Normal distribution - theoretical distribution (based on theory not real data) Y = population mean and y = standard deviation. Under the curve = proportion/% of the # of observations in the sample. Divide the difference between the score and the mean by the standard deviation. Positive z score - larger than the mean and negative - smaller than the mean. Larger the score the larger the difference between the score and mean. Example - page 184 when there"s a value for z. Standard normal distribution - a normal distribution represented in standard (z) scores, with mean 0 and standard deviation 1. Standard normal table - table showing the area (as a proportion, which can be translated into a %) under the standard normal curve corresponding to any z score or its fraction. Example - page 186 (187) transforming z scores into proportions (or %): examples page 188-192.