STATS 250 Lecture Notes - Lecture 16: Standard Deviation, Standard Score, Continuous Or Discrete Variable
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STATS 250 Full Course Notes
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Office hours: tue 1-4, wed 11:30-5 in the slc. Old finals skip: f11 q2(f), q7(h), w12 q6(g) There is going to be a regression problem (2 pages) with all the outputs on the exam. There is an anova problem (2 pages) with the various outputs to work with. Name that scenario problem which can also involve proportions from exam 1. They allows us to analyze categorical data once again. Homogeneity: you can have 2+ populations that you want to compare and the into this category. Independence: you have 1 sample and measure to variables (one can be relationship between those two variables. We compared to quantitative variables and saw if there was a relationship between the two by making a scatterplot (this is the goodness of fit test) Now we have the ability to compare categorical variables. The point of homogeneity is to assess if the distribution for 1 discrete categorical variable is same for 2 or more populations.
