MATH 1F92 Lecture Notes - Lecture 5: Standard Deviation
20 Sep 2016
School
Department
Course
Professor
Document Summary
When studying quantitative data, plots are a very useful tool for extracting information about the given data. Histograms and stem and leaf plots are the two main types of plots used in statistics, in order to detect certain patterns in the data. The plots are useful in allowing us to demonstrate the shape that the data forms. The three major features of quantitative data are: shape of the data, the central tendencies (mean, median and mode, dispersion (range, variance and standard deviation. Given the shape, an approximate idea can be made as to where the central tendencies of the data lie as well as the dispersion (or variability) of the data. Histograms: like a bar graph, except histograms are quantitative frequency histogram and relative frequency a graph created by drawing vertical rectangles, with equal width, for each class of data (bar graph).
