Statistical Sciences 2244A/B Lecture Notes - Lecture 1: Simple Random Sample, Stratified Sampling, Systematic Sampling
15 Sep 2016
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Document Summary
Methods for planning experiments, obtaining data, and then organizing, summarizing, analyzing, interpreting, presenting, and drawing conclusions based on the data. Random, doesn"t characterize a specific portion of the population. Decent size sample, needs to be large enough. Lower chance of missing unique individuals in the population. Class sample mean was 5. 7, we over estimated. This was systematic favouritism in the data selection, leading to misleading results. Sampling error is 2. 4 with the student sampling and actual sample mean. Error is a term in stats used to describe what makes a number unique in a sample. Random sampling: each unit of the population has an equal chance of being selected. o. It seems like all the groups are equally likely. But there"s groups of 4 that are not going to be chosen. Not each group of 4 has an equal chance since rows are chosen. Not simple random sample because not every group is equally as likely.
