SContinuous1D-1-26 - Monday January 26, 2011 Last time:...

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Monday January 26, 2011 Last time: Comparing Categorical 1-D Today: Continuous 1-D (Dot Plots, Stripcharts, Jitter) Next Time: Continuous 1-D, Part II Announcements: HW 2 due now; HW 3 out tonight SIBS: Summer Institute for Training in Biostatistics Boston, Emory, Iowa, NCSU, Pitt, USF, Wash U, UWisconsin Rice Univ Summer Institute of Statistics: March 1st deadline http://www.amstat.org/education/internships.cfm Freddie Mac hiring; apps due Jan 27th TartanTRAK Review Summary Rebecca Nugent, Department of Statistics, Carnegie Mellon University, 2011 1
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Continuous 1-D Structure: Summary: In R: summary(); quantile(); sd(); var(); library(MASS); help(UScereal); attach(UScereal) summary(UScereal); summary(fat) quantile(fat, probs=c(.1,.3,.5,.7,.9)) Visualizing the Actual Observations: Dot Plot: each row of data (here just one #) generates a point on the plot; points are plotted in horizontal display over the range of the data What can we gain from this display? Any downsides?
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SContinuous1D-1-26 - Monday January 26, 2011 Last time:...

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