01:960:401 Lecture 2: Lecture 2 Notes

• School: Rutgers University
• Department: Statistics and Biostatistic
• Course: 01:960:401
• Professor: S Lawrence

Document Summary

Whenaqualitativetrait isobserved for asample ofunitseachobservation is recorded as a memberofone ofseveral categories. A qualitative1categorical data qualitative trait that isonlyclassifiedintocategories not measured numerically. B numerical quantitative1measurementdata if information is measuredon a numericalscaletheresulting data consistsof a set ofnumberscalledmeasurementdat example hair color employmentstatus bloodtype. Exampleshoesize numberof trafficfatalitiesin astate intensity of an earthquake. Example determine ifdata iscontinuous discrete orcategorical a heightof a skyscraper favoriteprimarycolor. Adiscretedatasetcan besummarized in a frequencytable or frequency distributionthatincludesa calculation of the relativefrequencies. Areaof a histogram is one on each interval we draw a rectangle whose area representsthe relative frequency the proportion of the observations occurring in that class interval. 3 constructing afrequencydistributionofa continuous variable a find minandmax. Shapes of distribution r leftskewed meanmedian r r symmetric rightskewed mean median mediansmean i if. A orderfromsmallest to largest determineproduct samplesize if hp isnotanintegerroundup. A centerbox extendsfromqito q3 the linewithinthebox isthe median. 6boxand wiskers interquartilerange qz q populationvariance samplevariance populationstandarddeviation samplestandarddeviation coefficientof variation of population.