STAT-2300 Lecture Notes - Lecture 2: Sampling Bias, Convenience Sampling, Dependent And Independent Variables
31 Aug 2019
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Stratified sample: this form of random sampling divides the population into separate groups and then selects a random individual from each group. This strategy guarantees that an individual is chosen from each group and is represented. Ex. dividing the class into boys and girls then randomly selecting from each group. Cluster sample: the population is divided into large groups and one of the groups is randomly selected. All the individuals in the group are included in the sample. Ex. selecting from different sections of stat. Systematic sample: selecting every nth individual from a population. Ex. every 6th individual is chosen from an athletic team. A poor form of sampling involves convenience sampling which is not based on randomization and is based on ease of collection. Voluntary response samples are also a poor form of sampling where the individuals are self-selected. Bias can lead to over or under-representing individuals in a population. Here are a few sources of bias in sampling:
