STAT 1100 Chapter Notes - Chapter 4: Scatter Plot, Covariance, Unimodality
Document Summary
Section 1 measures of central location. Mean: computed by summing the observations and dividing by the number of observations. Sample: n = sample size, x = observations, x = sample mean. Population: n = # of observations, x = observations, = population mean. Median: calculated by placing all the observations in order (ascending or descending). The observation that falls in the middle is the median. Mode: the observation(s) that occurs with the greatest frequency. Mean is general our first selection: disadvantage: Several circumstances when the median is better: advantage: The mode is seldom the best measure of central location. Measures of central location for ordinal and nominal data. Median is appropriate for ordinal data because data is in order. Mode is appropriate for nominal data; however, it is pointless to compute the mode of nominal data. Range: range = largest observation smallest observation. Very simple; however, does not tell us anything about the other observations.
