# CS235 Chapter Notes - Chapter 13: Pie Chart, Descriptive Statistics, Sampling Distribution

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19 Jan 2015
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## Document Summary

Amount of time on: sample distribution: an expected, hypothetical distribution of all possible values of any same statistic from any given population, specifying the probable score associated with each value, characterized by using 3 descriptive measures: 1. ) central tendancy: descriptive statistics that reduce a distribution to one number that best characterizes the entire sample (mean, median, mode) 2. ) dispersion: assessments of how much variation in scores is present in a sample distribution (ie range, variance, and std deviation) 10 being the highest-2 being the lowest = range of 8). It basically tells you the distance between two sets of points: variance: is the average squared deviation of scores about the mean. It offers us a way to describe and assess the value of the mean. Variance indicates the average difference between the man and each score in the set. (ex.

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