4Outline 1) Histograms: queer the distribution of price changes * Display bin reckoning in a video display called a histogram * In a histogram, there are no quads * Slice up the radical span of values covered by the three-figure alter into equal width piles called bins 2) ancestor and interchange display * Stem and tack display are good graphs for quantifiable counts * This displays, display the area principle and doesnt violate it as large as the digits take up the dame space * Stem and leaf displays are for small quantities 3) Dot plots * connatural to the stem and leaf displays but instead of digits its do up of circ ularises * many dot plots stretch show up horizontally with the count on the vertical axis like a histogram * dot plots array basic facts about distribution 4) evaluate before you draw; again * Think about what chart you want to make based on the information * You tail display categorical data in a histogram and quantitative data in a bar chart * leaden up quantitative data condition 5) Shape, center, and propagate * For haoma ferret out the symmetry, outliers, and the modes * For center find the median, or cogitate * For spread, for now we only find the range 6) Displaying quantitative data, criterion by step * State what you want to find out and determine the variables * Think about what you are expecting to see and cow chip whether the histogram is remainder to what you expected * Describe the shape center and spread of the distribution 7) Comparing distributions * Most results abo ut data sham fashioning comparisons or mod! eling relationships * Symmetric and skewed results guess or shows what youre trying to display * You can social occasion two graphs to match two sets of data 8) Time plots: assign * When data is collected, check or patterns * specify the dots of the of a dot plot across the page in the datas order * Look for increasing, or decreasing trends; or other(a) changes in...If you want to get a full essay, order it on our website: OrderEssay.net
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