SOC202H1 Lecture Notes - Sampling Distribution, Standard Deviation, Standard Error
Document Summary
Today"s lecture will be a bit more abstract and a lot of materials will be from the slides. There is 1% of population that is very extreme. Most people are centered because that is what average is about. For example, some people are really rich but not all. Essentially what we will do is we will take that idea take sample statistics and see if it is representing a population by various tests. There are very few people that have depression. If depressed people were common, our result will be very different. In the test he will get you to think about distribution and examples. So he will have an example of huge canadian survey. Then the data wont change so much, because sample size is so huge. Larger the sample, it absorbs amount of potential of outlier. The more deviant from the norm you have, it is very easy and political to label it.
