Lecture 2: Descriptive Statistics and Exploratory Data ...

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Lecture 2: DescriptiveStatistics and ExploratoryData AnalysisFurther Thoughts on Experimental DesignPop 1Pop 2Repeat 2 times processing 16 samples in totalRepeat entire process producing 2 technicalreplicates for all 16 samplesRandomly sample 4 individuals from each popTissue culture and RNA extractionLabeling and array hybridizationSlide scanning and data acquisition 16 Individuals (8 each from two populations) with replicatesOther Business Course web-site: Homework due on Thursday not Tuesday Make sure you look at HW1 soon and seeeither Shameek or myself with questionsToday What is Descriptive Statistics and exploratorydata analysis ? Basic numerical summaries of data Basic graphical summaries of data How to use R for calculating Descriptive statisticsand making graphsPopulationSampleInferential StatisticsDescriptiveStatisticsProbabili ty Central Dogma of StatisticsEDABefore making inferences from data it is essential toexamine all your listen to the data:- to catch mistakes- to see patterns in the data- to find violations of statistical assumptions- to generate because if you don t, you will have trouble laterTypes of DataCategoricalQuantitativecontinuousdis creteordinalnominalbinary2 categories more categories order matters

Data Analysis. Further Thoughts on Experimental Design Pop 1 Pop 2 ... •Used to visualize distribution (shape, center, range, variation) of continuous variables •“Bin size” important. ... –Use pseudo-3d and color gratuitously –Make a pie chart (preferably in color and 3d)

  Phases, Analysis