Introduction to the Practise of Statistics - Chapter 1

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I nt roduction to the practise of statistics. Statistics: the science of learning from data (numerical facts) Context of data includes understanding variables that are recorded with special instruments. Individuals: objects described in a set of data (sometimes people but when they are not, they are cases) Quantitative variables: www. notesolution. com: graphs to represent variables, histogram: bars broken into sub-intervals (bins), breaks range of variable into classes and displays only the count of percent of observations that fall into each class. can learn the shape of distribution ( i. e. bell shape, skew / , unimodal) extreme values of distribution are in the tails of the distribution. 3 types of histograms: f requency: height/count (i. e. # of individuals that move mpg in bin) Relative f requency: height of bat/bin if the # of individuals that fall into that bin: density: area of the bar/bin is the # of individuals in the data set that fill into that bin.

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