SOC202H1 Lecture Notes - Research Question, Dependent And Independent Variables, University Of New Hampshire
Document Summary
Sample distribution - sample statistics especially means - what"s the spread and the central tendency. Looking at the distribution of the sample statistics. The larger the sample it absorbs the amount of potential influence from the outlier. The more deviant cases, especially with mitt romney - one or two cases isn"t a big deal. But with a small sample size and a few cases, then the mean will change and pulls the average. Often stuck with the idea - that our samples are not truly representative. If they were perfect precise measures, it"d be the entire populate. Relative to what is happen - how likely is it that if we draw another sample in the same way, it should be very close. If the two are wildly different, if so then we say the difference of the means, - if you kept doing random samples. Each of those means are a sample mean.
