CSCI 3022 Lecture Notes - Lecture 3: Voi, Quartile, Telephone Numbers In The United Kingdom
23 Jan 2019
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Document Summary
Histogram: a graphical representation of the distribution of numerical data. Lump or bin the observed values of the voi. Bins typically consecutive, non-overlapping, and equal in length. For a frequency histogram: count the number of data values that fall into a bin and draw a rectangle over that bin with height equal to the count. For a density histogram: count the number of data values that fall into a bin and adjust the height such that the sum of the area of all bins equal to 1. Choosing a different int width can paint a very different picture of the data. Example: find the frequency histogram with bin width 5 of the data on left, with loft-most bin edge at 35. Example: compute the quartiles and iqr of the data on the left: x = [38, 41, 41, 41, 41, 42, 43, 44, 44, 48, 49] n=11, odd, so q2 is the middle value: q2 = 42.
