SOC202H1 Lecture Notes - Lecture 5: Statistical Inference, Statistical Parameter, Statistic
Document Summary
Introduction to quantitative methods lecture 5: areas under the normal curve can be interpreted in two ways: Probability (of picking observations at random sample: sampling: the sample is the group of people we collect data from: And how far can the findings be generalized to the population. Are the results defined beyond the population from which the sample was drawn: pre-requisites for making inferences from a sample, representative, sample must be representative of the population. Representative = sample has the same characteristics as the population: the question is: how do we get a sample that is representative, procedure to draw a simple sample: Sampling frame: = list of all members/objects in population. Method for selecting members/objects: every element in the population must have an equal chance to get selected into the sample, epsem and representativeness: Using epsem rules increases the likelihood that the characteristics of the sample is representative of those of the population.
