SOC221H5 Lecture Notes - Lecture 5: Nonprobability Sampling, Sampling Error, Oversampling
Document Summary
Elements: individual thing, person going to observe in the research. Sampling is a technique to manage resources constraints. Sampling is a method that created in order to get information from people and get instincts of people. Non-probability sampling: quantitative, cheaper and easier, cannot do statistical work. Different mechanism that allows for randomness in a population. Allows to generalize, you can analyze the sample to generalize to the population, but only if it is probability sampling. Random selection: randomly select, each member of the population has an equal chance to be in the sample. Only wealthy people have telephones and cars, but everybody votes, voting is related to class, excluding the wealthy people, they had a bias. Inference statistics tells about the population that you are studying through a sample. Parameter: what exists out there in a population (canadian population 51% women and. Statistic is what we know from our sample. Sampling error: difference between a population value and sample value.
