Statistical Sciences 2244A/B Study Guide - Winter 2018, Comprehensive Midterm Notes - Standard Deviation, Normal Distribution, Confidence Interval
12 Oct 2018
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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. Population: complete collection of all objects/individuals to be studied. Population of interest is the population that we are interested in. Sample: subset of units from the population from which data are collected. We want a large sample size: need to be large enough to account for variability in the population. Parameter is a characteristic of a population. When we start talking about population means, mui is the symbol used for the population means. N= population size (total number of subjects of interest) Based on 192 sample means collected; impossible values and missing data removed. Selection bias: type of bias, systematic favouritism in the data selection process, leading to misleading results, we have to use sampling strategies that avoid selection bias. All possible combinations (ie samples) of size n from the population are equally likely.
