NEUR 2001 Lecture Notes - Lecture 8: Type I And Type Ii Errors, Sampling Bias, Sample Size Determination
2 Jan 2019
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Document Summary
Population is everyone that you want are interested in that share some common characteristics. You as the researcher, chose the inclusion and exclusion. It is not realistic to be able to study all of this population, so you take a sample. A sample is a set of individuals that represent the population. Highly motivated participants: researcher going door-to-door may avoid homes with lots of stairs; this may cause a biased sample, financial compensation for participation. If the mean is large, then you will need a smaller sample size to see the difference between the two groups. September 28, 2018: usually 80, direction of effect, can it go up only (one-tail); up and down (two-tail, statistical test, chi-square, t-test, etc, attrition, adjust sample size (ex. Death of animals, dropout in human trials: you have to consider # of people that might drop out and adjust your number for that.
