BCOR 102 Study Guide - Frequentist Probability, Standard Deviation, Normal Distribution
6 Sep 2013
School
Department
Course
Professor
Document Summary
8/30/13: p= the chance that something will happen, (never) (always, nothing is truly random, caused by accumulation of various factors. Defining randomness: a mixture of measurement error & factors that are too complex to measure/model. Only have a limited amount of info to work with. Generality, can be extended to different circumstances. Variation in the real world: biological variation- space, time, species, age, sex, etc, measurement variation- measurement error, measurement method, measurement conditions, mean, variance . Good experimental conditions: independence of data, appropriate controls, manipulating only one factor at a time. Caging an environment causes both shade and predator exclusion, therefore need a control and additional shaded area w/o predator exclusion: replication. Null hypothesis- hypothesis of no effect (most parsimonious, logical primary: observed differences among groups reflect measurement variation and other unspecified sources of variation. Statistical probability value: statistical p= probability of obtaining the observed result( or something more extreme) if the null hypothesis is true.
