STAT 2040 Lecture Notes - Lecture 5: Lincoln Near-Earth Asteroid Research, Type I And Type Ii Errors, Dependent And Independent Variables
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16 Jan 2017
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Randomized block design individuals within a block are randomly assigned and compared to eachother, but not to individuals within a different block (due to a gradient across the blocks eg distance from window for plant growth) Significance level ( ) type i error rate (probability of rejecting ho when it"s actually true) A 95% confidence interval (ci) refers to a set of all values of that would not be rejected in a 2-sided test with = 0. 05. One-way anova (as shown above) tests effect of only one factor on the response variable. Two-way anova: tests effects of two factors on the response variable. Two parts of the null hypothesis (that the means for factor i will be equal, and that the means for factor. Also "interaction ho" that the effects of each factor are constant and do not depend on the other factor.