COMM 215 Lecture Notes - Lecture 2: Wolfram Alpha, Pie Chart, Mathworld

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Summary of observations (# of observations per class) Contains values (or value sets) for data. Discrete data: countable by category (eg how many times per week ppl go to the gym) 7 ppl out of 1000 go to the gym 3-5x/week - 7/1000 = 0. 007. Total of all relative frequencies = 1 or 100% Continuous data (uncountable bc there are infinite possibilities - e. g. weight, length - Discrete data w/ many possible outcomes (e. g. age) Summarized in grouped data distribution, data separated into classes. All inclusive - represents all possible data. Equal width (e. g 1-10, 11-20, 21-30, etc) To build a class: choose # of classes (ideally 5-20, choose width, choose upper + lower boundaries, determine frequency. Cumulative frequency: summary of data set w/ # of data lesser than or equal to upper limit of class: relative frequency: summary of data set w/ proportion of data lesser than or equal to upper limit of class.

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