01:960:212 Lecture Notes - Lecture 1: Proportional Representation, Royal Institute Of Technology, Job Satisfaction

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01:960:212 Full Course Notes
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We may then consider different types of probability samples. Although there are a number of different methods that might be used to create a sample, they generally can be grouped into one of two categories: probability samples or non-probability samples. The idea behind this type is random selection. More specifically, each sample from the population of interest has a known probability of selection under a given sampling scheme. There are four categories of probability samples described below. The most widely known type of a random sample is the simple random sample (srs). This is characterized by the fact that the probability of selection is the same for every case in the population. Simple random sampling is a method of selecting n units from a population of size n such that every possible sample of size an has equal chance of being drawn. An example may make this easier to understand. Imagine you want to carry out a survey of.

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