Sociology 2206A/B Lecture : feb 6th.docx

• School: Western University
• Department: Sociology
• Course: Sociology 2206A/B
• Professor: Ryan Broll

Document Summary

Tells us the shape of the sampling distribution and tells us its mean and standard deviation. If we start off with some trait that is normally distributed across the population (iq, height) and take an infinite number of equally sized random samples from that population, the sampling distribution of sample means will be normal. For any trait or variable, even those that are not normally distributed in the population, as the sample size grows larger the sampling distribution of sample means will become normal in shape. The difference between the statistic (sample) and the parameter (population) Theoretical construct- it is impossible to know the true population parameter. Should theoretically be reduced with a representative sample. Confidence intervals allow for the possibility of error. Non-response/ missing data (people not answering certain questions, particularly with income) Response bias (respond how they think the researcher wants them to respond rather then true beliefs or opinions, especially with moral judgment questions)